Nested Collaborative Learning for Long-Tailed Visual Recognition
Nested Collaborative Learning for Long-Tailed Visual Recognition
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
FKD: A Fast Knowledge Distillation Framework for Visual Recognition
FKD: A Fast Knowledge Distillation Framework for Visual Recognition
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras
Counterfactual Zero-Shot and Open-Set Visual Recognition
Counterfactual Zero-Shot and Open-Set Visual Recognition
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
A Fast and Accurate One-Stage Approach to Visual Grounding
A Fast and Accurate One-Stage Approach to Visual Grounding
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
TDN: Temporal Difference Networks for Efficient Action Recognition
TDN: Temporal Difference Networks for Efficient Action Recognition
Released code for Causal Attention for Unbiased Visual Recognition
This repo contains the codes of training our CaaM on NICO/ImageNet9 dataset. Due to my recent limited bandwidth, this codebase is still messy, which will be further refined and checked recently.
Location-Sensitive Visual Recognition with Cross-IOU Loss
Location-Sensitive Visual Recognition with Cross-IOU Loss