image classification

Rethinking Channel Dimensions for Efficient Model Design CVPR 2021 Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021 Rethinking Spatial Dimensions of Vision Transformers ICCV 2021 Revisiting ResNets: Improved Training and Scaling Strategies NeurIPS 2021 RNNP: A Robust Few-Shot Learning Approach WACV 2021 Robust Contrastive Learning Using Negative Samples with Diminished Semantics NeurIPS 2021 Robust Implicit Networks via Non-Euclidean Contractions NeurIPS 2021 Rotate to Attend: Convolutional Triplet Attention Module WACV 2021 RSG: A Simple but Effective Module for Learning Imbalanced Datasets CVPR 2021 SA-BNN: State-Aware Binary Neural Network AAAI 2021 SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization ICLR 2021 Sample efficient learning of image-based diagnostic classifiers via probabilistic labels AISTATS 2021 Scalable Vision Transformers With Hierarchical Pooling ICCV 2021 ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers NeurIPS 2021 Scaling Local Self-Attention for Parameter Efficient Visual Backbones CVPR 2021 SCOUTER: Slot Attention-Based Classifier for Explainable Image Recognition ICCV 2021 Self-Born Wiring for Neural Trees ICCV 2021 Self-Knowledge Distillation With Progressive Refinement of Targets ICCV 2021 Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification CVPR 2021 Self Supervision for Attention Networks WACV 2021 SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images SemEval 2021 Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees AISTATS 2021 Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples ICCV 2021 Separation and Concentration in Deep Networks ICLR 2021 Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark CVPR 2021