OpenMMLab Detection Toolbox and Benchmark
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Updated
Aug 17, 2024 - Python
OpenMMLab Detection Toolbox and Benchmark
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Implementation of popular deep learning networks with TensorRT network definition API
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
A paper list of some recent Transformer-based CV works.
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
[CVPR 2022 Oral] Official implementation of DN-DETR
[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation
Dense Distinct Query for End-to-End Object Detection (CVPR2023)
[CVPR 2022 Oral] AdaMixer: A Fast-Converging Query-Based Object Detector
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
A User Interface for DETR built with Dash. 100% Python.
GRIT: Faster and Better Image-captioning Transformer (ECCV 2022)
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
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