Papers with Code 아카이브

Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/louisyuzhe/car-damage-detector

Mask R-CNN

https://github.com/lpirola13/flower-recognizer

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

https://github.com/lpirola13/flower_recognizer

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

https://github.com/lrf008/yolov4

YOLOv3: An Incremental Improvement

https://github.com/lrr-rachel/PCDUNet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/ls-da3m0ns/Short-ResNet

Deep Residual Learning for Image Recognition

https://github.com/ls5122/mask-rcnn

Mask R-CNN

https://github.com/lschirmer/Attention-Augmented-Convolutional-Keras-Networks

Attention Augmented Convolutional Networks

https://github.com/lssily/maskrcnn-benchmark-master

RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free

https://github.com/lswzjuer/caffe-adas

SSD: Single Shot MultiBox Detector

https://github.com/ltnghia/ANet

Anabranch Network for Camouflaged Object Segmentation

https://github.com/ltnghia/CAMO

Anabranch Network for Camouflaged Object Segmentation

https://github.com/ltp1995/GCAGC-CVPR2020

Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection

https://github.com/ltracegeo/deep-mineralogical-segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/lucasjinreal/yolov7_d2

Visual Attention Network

https://github.com/lucidrains/DALLE2-pytorch

Efficient Attention: Attention with Linear Complexities

https://github.com/lucidrains/En-transformer

Efficient Attention: Attention with Linear Complexities

https://github.com/lucidrains/agent-attention-pytorch

Agent Attention: On the Integration of Softmax and Linear Attention

https://github.com/lucidrains/bottleneck-transformer-pytorch

Bottleneck Transformers for Visual Recognition

https://github.com/lucidrains/denoising-diffusion-pytorch

A ConvNet for the 2020s

https://github.com/lucidrains/ema-pytorch

Switch EMA: A Free Lunch for Better Flatness and Sharpness

https://github.com/lucidrains/flash-cosine-sim-attention

Swin Transformer V2: Scaling Up Capacity and Resolution

https://github.com/lucidrains/halonet-pytorch

Scaling Local Self-Attention for Parameter Efficient Visual Backbones

https://github.com/lucidrains/imagen-pytorch

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

https://github.com/lucidrains/lambda-networks

LambdaNetworks: Modeling Long-Range Interactions Without Attention

https://github.com/lucidrains/linear-attention-transformer

Efficient Attention: Attention with Linear Complexities

https://github.com/lucidrains/mammut-pytorch

MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks

https://github.com/lucidrains/memory-transformer-xl

Efficient Attention: Attention with Linear Complexities

https://github.com/lucidrains/pixel-level-contrastive-learning

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

https://github.com/lucidrains/point-transformer-pytorch

Point Transformer

https://github.com/lucidrains/stylegan2-pytorch

Efficient Attention: Attention with Linear Complexities

https://github.com/lucidrains/vit-pytorch

SepViT: Separable Vision Transformer

https://github.com/lucifer443/SpineNet-Pytorch

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

https://github.com/luckymanwu/defect_detection

YOLOv3: An Incremental Improvement

https://github.com/lucylow/salty-wet-man

Mask R-CNN

https://github.com/lufficc/SSD

SSD: Single Shot MultiBox Detector

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.