This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

Implementation of Bottleneck Transformer in Pytorch

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

(ICCV 2023) Large Selective Kernel Network for Remote Sensing Object Detection

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

The official project website of "Omni-Dimensional Dynamic Convolution" (ODConv for short, spotlight in ICLR 2022).

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Tr…

mixup: Beyond Empirical Risk Minimization

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

(CVPR2024)RMT: Retentive Networks Meet Vision Transformer

PyTorch Implementation of Deformable Convolution

SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Grounded Language-Image Pre-training

Code for ICCV 2021 paper: 'Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks'

Official implementation of PVT series

Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021

Collect some papers and datastes about few-shot object detection for computer vision.

Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020

This project provides an implementation for "Generalized Few-Shot Object Detection without Forgetting" (CVPR2021) on PyTorch.

Rethinking Classification and Localization for Object Detection