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a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

controlnet

Let us control diffusion models!

darts

Differentiable architecture search for convolutional and recurrent networks

detad

This repository is intended to host the diagnosis tool for analyzing temporal action localization algorithms. This tool is first presented as part of our DETAD paper.

detr

End-to-End Object Detection with Transformers

diagnosing-object-detectors

This project shows how to analyze the influences of object characteristics on detection performance and the frequency and impact of different types of false positives.

distilling-object-detectors

Implementations of CVPR 2019 paper Distilling Object Detectors with Fine-grained Feature Imitation

eval-nas

PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

expandnets

Official implementation of ExpandNets (NeurIPS2020)

kd-6d-pose-adlp

[CVPR2023] Official implementation of Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions

mmcv

OpenMMLab Computer Vision Foundation

mmdetection-1

OpenMMLab Detection Toolbox and Benchmark

objectdetection-onestagedet

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-imagenet-cifar-coco-voc-training

Training examples and results for ImageNet/CIFAR/COCO/VOC training.Image Classification/Object Detection.

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

retinanet-pytorch

An implementation of RetinaNet in Pytonch

segformer

Official implementation of "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers"

semi_supervised_mnist

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

ssd

High quality, fast, modular reference implementation of SSD in PyTorch

ssd-knowledge-distillation

A PyTorch Implementation of Knowledge Distillation on SSD

ssda_mme

Semi-supervised Domain Adaptation via Minimax Entropy

visda2019-semisupervised

Source code of our submission (Rank 2) for Semi-Supervised Domain Adaptation task in VisDA-2019