Stars
Modeling Missing Annotations for Incremental Learning in Object Detection
Code for 2023 ICCV paper 'Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection'
Focal and Global Knowledge Distillation for Detectors (CVPR 2022)
Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"
Official repository for Few-Shot Class-Incremental Learning (FSCIL)
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
PyCIL: A Python Toolbox for Class-Incremental Learning
Class-Incremental Learning: A Survey (TPAMI 2024)
This is the official implementation of the paper "Instance-conditional Knowledge Distillation for Object Detection", based on MegEngine and Pytorch.
Awesome Knowledge Distillation
Awesome Knowledge-Distillation for CV
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Awesome Incremental Learning
PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)
A curated list of awesome knowledge distillation papers and codes for object detection.
(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020
Differentiable IoU of rotated bounding boxes using Pytorch
This repository collects papers on VLLM applications. We will update new papers irregularly.
Natural Language Processing Tutorial for Deep Learning Researchers
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥