Dense Prediction

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Period ending 2026-09-21

2 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

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95 papers

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GTR: Gated Token Recurrence for Efficient Dense Prediction
Sep 22, 2026Zhe Feng, Longfei Liu, Wei Liu +7Dense Prediction
PiPS: Post-Hoc Prototypical Explanations for Interpretable Semantic Segmentation
Sep 15, 2026Miłosz Adamczyk, Tymoteusz Zapala, Piotr Borycki +1Learnable Prototypes Dense Prediction
Multimodal Floorplan Encoding: Learning Dense Modality-Invariant Representations
Sep 14, 2026Xavier Anadón, Rémi Pautrat, Rui WangModality-Specific Encoders Dense Prediction
From Pixels to Hierarchical Sequences: Quadtree Mask Encoding for Vision-Language Binary Change Detection
Sep 9, 2026Xiao An, Ruikang Zhang, Chen Zhong +4Change Detection Large Vision Language Models
Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation
Sep 8, 2026Igor Pavlovic, Thiemo Wandel, Anton Obukhov +6Monocular Depth Estimation Multimodal Diffusion Transformers
Efficient Semantic Understanding from Digital Foveation
Sep 3, 2026Caterina Caccavella, Vittorio Fra, Andreas Ziegler +2Dense Semantic Segmentation Vision Sensors
Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications
Sep 1, 2026S. Sifaoui, E. Angelini, S. Toupin +2Self-Supervised Representations Dense Prediction
GramLoop: Training-Free Gram-Gated Replay for Robust Dense Prediction
Aug 29, 2026Yang Chen, Canyu Shen, Xinzhe Rao +5Dense Prediction Dinov3
RealDenseFace: Real-time Monocular 3D Face Reconstruction from Dense UV-space Priors
Aug 10, 2026Linzhou Li, Tianjia Shao, Kun ZhouBlind Face Restoration 3D Object Understanding
HSMLA: Hierarchical Softmax Multi-scale Linear Attention for Efficient Vision Transformers
Aug 7, 2026Dong Liu, Yanxuan Yu, Renata Borovica-Gajic +2Self-Supervised Vision Transformers Vision Transformer
Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors
Aug 5, 2026Hakyeong Kim, Ruicheng Wang, Chengtang Yao +2Depth Estimation Dense Prediction
LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching
Aug 4, 2026Siwei Yu, Han Guo, Zhenwei Shi +1Feature Matching Remote Sensing
Better, Stronger, Faster, and Broader: Structured All-Mask Prediction for MLLM-Based Segmentation
Aug 3, 2026Jiazhen Liu, Mingkuan Feng, Long ChenDense Prediction
VARPose: Flexible 2D Pose Densification via Visual Autoregressive Modeling for Enhanced 3D Lifting
Aug 3, 2026Kaiyuan Pu, Tiantian Yang, Dan ZengCategory-Level Object Pose Estimation Dense Prediction
ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation
Aug 2, 2026Mohamed Farag, Genc Hoxha, Yahia Maleki +2Ensemble Dense Prediction
Training-Free Entity-Level Few-Shot Segmentation of Remote Sensing Images with Advection Refinement
Jul 31, 2026Xueting Bai, Huan NiFew-Shot Segmentation Remote Sensing
Group-wise Supervision with Focal-Dice Loss for Long-Tailed Indoor Semantic Occupancy Prediction
Jul 31, 2026Qi Zheng, Zihuang Su, Xiao Pan3D Semantic Occupancy Prediction Dense Prediction
ProgFormer: Hierarchical Voxel Diffusion Transformer for Longitudinal Brain MRI Prediction
Jul 30, 2026Dexuan Ding, Yuankai Qi, Luping Zhou +3Magnetic Resonance Imaging Voxel
Lottery Tickets Are Not Deployment Tickets
Jul 29, 2026Bum Jun KimLotteries Decision Thresholds
DensFiLM: Density-Conditioned Video Saliency for Crowd Scenes
Jul 28, 2026Anis Ur RahmanSaliency Dense Prediction
Unified Video Dense Prediction from Disjoint Data
Jul 23, 2026Yihong Sun, Seoung Wug Oh, Jiahui Huang +2Dense Prediction Pre-Trained Video Diffusion Models
Point Ladder Tuning: Parameter-Efficient Hierarchical Adaptation for 3D Point Cloud Understanding
Jul 21, 2026Junlin Chang, Longhao Zou, Rui LiParameter-Efficient Fine-Tuning Dense Prediction
Think Sparse, Predict Dense: Continuous Thought Machines for Image Super-Resolution
Jul 21, 2026Zekai ShiDense Prediction
DORS: Dynamic Attention Routing for Diffusion-based Object Removal in Dense Scenes
Jul 18, 2026Haitong Tang, Haipeng Liu, Yang WangVideo Object Removal Removal
DPNeXt: A Lightweight Multi-Scale Feature Fusion Framework for Efficient ViT-Based Multi-Task Dense Prediction
Jul 17, 2026Jehun Kang, Jungha Wang, Youngjun Hwang +1Dense Prediction Depth Estimation
ARDepth: Auto-regressive Monocular Depth Estimation with Progressive Visual Conditioning
Jul 14, 2026Zijie Wang, Wei Zhang, Weiming Zhang +4Monocular Depth Estimation Depth Estimation
Next-Dense-Stride Prediction for Multimodal Autoregressive Visual Modeling
Jul 10, 2026Chicago Y. Park, Jialin Mao, Xiaojian Xu +3Autoregressive Image Generation Dense Prediction
Sparse Attention for Dense Open-Vocabulary Prediction in CLIP
Jul 8, 2026Fatimah Zohra, Chen Zhao, Shuming Liu +1Dense Prediction Open-Vocabulary
Physics-guided spatiotemporal neural models for fuel density prediction
Jul 8, 2026Tolga Caglar, Jaynil Jaiswal, Saqib Azim +3Physics-Guided Deep Learning Framework Combustion Control
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models
Jul 7, 2026Zanyi Wang, Xin Lin, Haodong Li +2Dense Prediction Self-Supervised Reconstruction Method
PVCap: Towards Accurate 3D Dense Captioning via PseudoCap and VoxelCapNet
Jul 7, 2026Xiaopei Wu, Chenshu Hou, Liang Peng +93D Scene Understanding Voxel
Repurposing CLIP to Localize at Pixel Level
Jul 6, 2026Jiaxiang Fang, Shiqiang Ma, Jing Wang +3Dense Prediction Sequential Visual Localization
SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction
Jul 6, 2026Pin Tang, Zhongdao Wang, Guoqing Wang +23D Semantic Occupancy Prediction Voxel
Topology-Driven Transferability Estimation for 3D Medical Vision Foundation Models
Jul 5, 2026Jiaqi Tang, Shaoyang Zhang, Fandong Zhang +3Medical Image Segmentation 3D Semantic Segmentation
FDR-Occ: Factorized Dense Routing for Full-Spectrum 3D Occupancy Prediction
Jul 4, 2026Dubing Chen, Huan Zheng, Tianyi Yan +53D Semantic Occupancy Prediction Dense Prediction
Less Tokens, Better Forecasts: Sparse Residual Routing for Efficient Weather Prediction
Jul 2, 2026Janet Wang, Yunbei Zhang, Lin Zhao +3Artificial Intelligence Weather Models Adverse Weather
DrivingDepth: Sparse-Prompted Pixel-wise Scale Correction for Driving Depth Estimation
Jun 30, 2026Chi Huang, Wenhao Zhang, Hang Yin +5Depth Estimation Light Detection And Ranging
MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction
Jun 29, 2026Shuo Zhou, Zhaoxin Li, Xiujuan ChaiDense Prediction Multi--Task Learning
UniGP: Taming Diffusion Transformer for Prior-Preserved Unified Generation and Perception
Jun 29, 2026Qin Guo, Hao Luo, Dongxu Yue +4Multimodal Diffusion Transformers Dense Prediction
Scalable and Differentiable Point-Cloud Registration Using Maximum Mean Discrepancy
Jun 26, 2026Rixon Crane, Fahira Afzal Maken, Nicholas Lawrance +4Point Cloud Registration Image Registration
Multi-Modal Conditioned High-Resolution Transformer for Urban Electromagnetic Field Map Prediction Download PDF
Jun 26, 2026Do-Eon Kim, Dongryul Park, Seungyoung Ahn +3Reconfigurable Intelligent Surfaces Stress Fields
Efficient Remote Sensing Instance Segmentation with Linear-Time State Space Distilled Visual Foundation Models
Jun 24, 2026Qinzhe Yang, Keyan Chen, Jia Xu +2Remote Sensing Image Segmentation Remote Sensing
FLM-Occ: Feed-forward Likelihood Maximization for Efficient Indoor Occupancy Prediction
Jun 19, 2026Guangcheng Chen, Lihuang Fang, Huaqi Tao +3Occupancy Voxel
Instance-Aware Knowledge Distillation for Semi-Supervised Learning of an On-Board Multi-Task Dense Prediction Model for Collision Avoidance System
Jun 15, 2026Gyutae Hwang, Sang Jun LeeAutonomous Driving Perception Dense Prediction
Task-Instructed Causal Routing of Vision Foundation Models for Multi-Task Learning
Jun 14, 2026Donghyun Han, Yuseok Bae, Jung Uk Kim +1Dense Prediction Vision Foundation Models
Segmentation-based Detection for Efficient Multi-Task Spacecraft Perception
Jun 13, 2026Sivaperuman Muniyasamy, Surendar DevasundaramObject Detection Spacecraft
ViT-Up: Faithful Feature Upsampling for Vision Transformers
Jun 12, 2026Krispin Wandel, Jingchuan Wang, Hesheng WangSelf-Supervised Vision Transformers Dense Prediction
Modality Forcing for Scalable Spatial Generation
Jun 11, 2026Bardienus Pieter Duisterhof, Deva Ramanan, Jeffrey Ichnowski +2Large-Scale Image Generation Dense Prediction
Leveraging Metric Depth for Relative Depth Prediction
Jun 9, 2026Xiaoyang Bi, Shuaikun Liu, Zhaohong Liu +5Monocular Depth Estimation Dense Prediction
When Offline Selectors Cannot Beat the Best Single Model: A Diagnostic Study on edX Dropout Prediction
Jun 2, 2026Tyler Crosse, Alan Nadelsticher Ruvalcaba, Dustin Khang LeDuc +3Model Selection Reward-Prediction Error
Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression
May 28, 2026Gijs van Nieuwkoop, Siamak MehrkanoonPrecipitation Quantile Regression
Large Depth Completion Model from Sparse Observations
May 28, 2026Zhu Yu, Zhengyi Zhao, Runmin Zhang +7Depth Estimation Dense Prediction
SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping
May 27, 2026Hongyu Wen, Jia DengDepth Estimation Dense Prediction
SIGMA: Bridging Structural and Distributional Gaps for Vision Foundation Model Adaptation
May 27, 2026Lingyu Xiong, Jinjin Shi, Xuran Xu +3Vision Foundation Models Dense Prediction
Structure over Pixels: Learning Variable-Length Visual Programs
May 26, 2026Piotr Wyrwiński, Kacper Dobek, Krzysztof KrawiecVisual Tokens Intermediate Scene Representations
D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation
May 24, 2026Wenjie Zheng, Haoji Hu, Jiali Lu +2Dense Semantic Segmentation Dense Prediction
Self-Balancing Gradient Allocation for Heterogeneity-Aware Feature Generation in Click-Through Rate Prediction
May 24, 2026Moyu Zhang, Yun Chen, Yujun Jin +3Click-Through Rate Prediction Generative
Phase-Aware Wavelet-Based-Scattering Encoder-Decoder for Dense Predictions
May 23, 2026Ghassen Marrakchi, Basarab MateiDiscrete Wavelet Transform Dense Prediction
Vision Transformers Need Better Token Interaction
May 22, 2026Linxiang SuVision Transformer Dense Prediction
MuellerPT: Decomposition Driven Pretraining for Dense Learning in Mueller Polarimetry
May 22, 2026Adam Tlemsani, Yingdian Li, Maxime Giot +4Dense Prediction Multiple Instance Learning

Sep 22, 2026 · cs.CVJ/K move · Enter open · S save

GTR: Gated Token Recurrence for Efficient Dense Prediction

Zhe Feng, Longfei Liu, Wei Liu, Kai Chen+6

Self-attention-based vision backbones perform well on dense prediction, but the quadratic computational cost of global softmax attention limits their efficiency as image resolution increases. We introduce Gated Token Recurrence (GTR), a softmax-free recurrent vision backbone that combines gated linear attention, alternating spatial scan directions, and spatially enhanced SwiGLU blocks. GTR is distilled from a detection-specialized DINOv3 teacher using only final-layer patch-token alignment through a linear projection and squared

\ell_2

loss, without masked-token prediction or intermediate-layer supervision. With Objects365 detector pre-training, GTR-L achieves 58.9 box AP on COCO \texttt{val2017} with 1.908,ms median batch-one latency under compiled FP16 execution on an RTX4090. The same backbone also transfers to instance segmentation, pose estimation, oriented detection, semantic segmentation, and monocular depth estimation. In an isolated kernel benchmark, our specialized chunkwise CUDA operator is $4.0\times$ faster than FLA v0.5.0 at 1.6K tokens on RTX4090. TensorRT deployment on DRIVE AGX Thor achieves 2.282--8.769,ms median batch-one latency across the evaluated models. These results show that recurrent token mixing can provide an efficient alternative to global softmax attention for high-resolution dense prediction and edge deployment. Project page: https://intellindust-ai-lab.github.io/projects/GTR/

Dense Prediction

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