Computer Vision
40,842 papers (88 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
4
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4
53
40
41
60
61
64
71
868
565
967
683
855
1,191
2,400
2,565
3,796
3,381
5,307
5,961
7,515
4,388
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Papers (including subtopics)
Salvage of Supervision in Weakly Supervised Object Detection
CVPR 2022
Sample and Computation Redistribution for Efficient Face Detection
ICLR 2022
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
NeurIPS 2022
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity
WACV 2022
Sanity Simulations for Saliency Methods
ICML 2022
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
NeurIPS 2022
SAR-Net: Shape Alignment and Recovery Network for Category-Level 6D Object Pose and Size Estimation
CVPR 2022
SAR-to-Optical Image Translation via Neural Partial Differential Equations
IJCAI 2022
SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection
AAAI 2022
SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention
CVPR 2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
NeurIPS 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
NeurIPS 2022
SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization
NeurIPS 2022
SBEVNet: End-to-End Deep Stereo Layout Estimation
WACV 2022
SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration
CVPR 2022
Scalable Neural Video Representations with Learnable Positional Features
NeurIPS 2022
Scale-Equivalent Distillation for Semi-Supervised Object Detection
CVPR 2022
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise
Perspective for Medical Image Segmentation
IJCAI 2022
ScaleNet: A Shallow Architecture for Scale Estimation
CVPR 2022
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters
JMLR 2022
Scaling Up Vision-Language Pre-Training for Image Captioning
CVPR 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
CVPR 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
CVPR 2022
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression
AAAI 2022
SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation
AAAI 2022