Dense Prediction

Dense prediction, a core task in computer vision, aims to generate a prediction for every pixel in an image, enabling applications like semantic segmentation and depth estimation. Current research focuses on improving the efficiency and accuracy of dense prediction models, exploring architectures like Vision Transformers (ViTs) and convolutional neural networks (CNNs), often combined with techniques such as multi-scale feature fusion, attention mechanisms, and knowledge distillation. These advancements are driving progress in various fields, including medical image analysis, autonomous driving, and remote sensing, by enabling more accurate and efficient processing of high-resolution visual data.

Papers

June 6, 2023

Deep Learning for Day Forecasts from Sparse Observations
Marcin Andrychowicz, Lasse Espeholt, Di Li, Samier Merchant, Alexander Merose, Fred Zyda, Shreya Agrawal, Nal Kalchbrenner
Deep Learning Data Assimilation Dense Prediction Day Ahead Classification Layer Probabilistic Weather

May 29, 2023

Hierarchical Neural Memory Network for Low Latency Event Processing
Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi, Ken Sakurada
Dense Prediction Hierarchical Memory Sparse Event Latent Memory

May 2, 2023

PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud Upsampling
Dohoon Kim, Minwoo Shin, Joonki Paik
Point Cloud Graph Convolution Dense Prediction Point Cloud Upsampling Edge Transformer

April 4, 2023

Multi-Level Contrastive Learning for Dense Prediction Task
Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo
Contrastive Learning Self Supervised Dense Prediction Dense Prediction Task

April 3, 2023

Probabilistic Prompt Learning for Dense Prediction
Hyeongjun Kwon, Taeyong Song, Somi Jeong, Jin Kim, Jinhyun Jang, Kwanghoon Sohn
Prompt Learning Pre Trained Vision Language Model Dense Prediction Dense Prediction Task

March 25, 2023

Ensemble-based Blackbox Attacks on Dense Prediction
Zikui Cai, Yaoteng Tan, M. Salman Asif
Adversarial Attack Dense Prediction Untargeted Attack Blackbox Attack

March 17, 2023

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang
Cross Domain Visual Prompt Dense Prediction Image Prompt

March 2, 2023

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
Shubhankar Borse, Debasmit Das, Hyojin Park, Hong Cai, Risheek Garrepalli, Fatih Porikli
Dense Prediction Deja Vu

March 1, 2023

BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction
Mingming Zhang, Ye Du, Zhenghui Hu, Qingjie Liu, Yunhong Wang
Dense Prediction Multi Scale Feature Fusion Footprint Extraction Bidirectional Generation Polygonal Building Building Footprint Extraction

February 13, 2023

CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction
Gang Zhang, Ziyi Li, Chufeng Tang, Jianmin Li, Xiaolin Hu
Feature Fusion Encoder Decoder Multi Scale Feature Dense Prediction Multi Scale Feature Fusion ATAC Net

January 9, 2023

DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction
Yangyang Xu, Yibo Yang, Lefei Zhang
Multi Task Learning Deformable Convolution Dense Prediction Deformable Transformer Query Transformer Transformer Based Decoder

December 23, 2022

Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras
Contrastive Learning Digital Pathology Dense Prediction Precise Localization Dense Feature Dense Matching DEnse Contrastive

October 13, 2022

October 4, 2022

Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search
Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm
Neural Architecture Search Multitask Learning Dense Prediction Dense Prediction Task Hardware Aware Neural Architecture Search

October 3, 2022

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu
Vision Transformer Dense Prediction High Resolution Representation

September 6, 2022

Improved Sensor-Based Animal Behavior Classification Performance through Conditional Generative Adversarial Network
Zhuqing Zhao, Dong Ha, Abhishek Damle, Barbara Roqueto Dos, Robin White, Sook Ha
Conditional Generative Adversarial Network Dense Prediction Animal Behavior Dense Label

August 28, 2022

ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers
Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu
Vision Transformer Self Attention Transformer Architecture Sparse Attention Dense Prediction Patch Attention

July 19, 2022

Vision Transformers: From Semantic Segmentation to Dense Prediction
Li Zhang, Jiachen Lu, Sixiao Zheng, Xinxuan Zhao, Xiatian Zhu, Yanwei Fu, Tao Xiang, Jianfeng Feng, Philip H. S. Torr
Vision Transformer Semantic Segmentation Transformer Based Receptive Field Dense Prediction Dense Visual Prediction

July 14, 2022

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao
Contrastive Learning Pathology Image Dense Prediction Saliency Detection Pathology Workflow