Papers with Code 아카이브

2D Classification

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보존된 평가 기록

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코드

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

https://github.com/Visual-Attention-Network/VAN-Segmentation

Visual Attention Network

https://github.com/Visual-Behavior/aloception

End-to-End Object Detection with Transformers

https://github.com/Visual-Behavior/detr-tensorflow

End-to-End Object Detection with Transformers

https://github.com/VisualComputingInstitute/SiamR-CNN

Siam R-CNN: Visual Tracking by Re-Detection

https://github.com/ViswanathaReddyGajjala/EfficientNet-RetinaNet

Deep Residual Learning for Image Recognition

https://github.com/VivekUdupa/CPSC8810-DeepLearning_vkoodli_shonnah

Contextual Action Recognition with R*CNN

https://github.com/Viveksbawa/SARAS-ESAD-Baseline

SSD: Single Shot MultiBox Detector

https://github.com/Vonski/wdi19

You Only Look Once: Unified, Real-Time Object Detection

https://github.com/VyshnaviSK/Face2Mask-CycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/W4ngatang/qags

NewsQA: A Machine Comprehension Dataset

https://github.com/WARM-3D/WARM-3D

WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object Detection

https://github.com/WWangYuHsiang/SMILEtrack

SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking

https://github.com/WXinlong/DenseCL

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

https://github.com/WYGNG/CenterNet-Pro

Objects as Points

https://github.com/WYGNG/USTC_SSE_Project

Objects as Points

https://github.com/WaelOuni/MergeTenserFlowWithOdb

You Only Look Once: Unified, Real-Time Object Detection

https://github.com/Wakeupbuddy/amodalAPI

Semantic Amodal Segmentation

https://github.com/WalterJohnson0/tf-keras-implementation-of-Image-Style-transformation-network

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/WalterMa/gluon-faster-rcnn

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/WangChen0902/SID-Paddle

Learning to See in the Dark

https://github.com/WangFeng18/Swin-Transformer

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

https://github.com/WangFengJiee/MiniMaxAD

MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection

https://github.com/WangMian-Maker/Flask

YOLOv3: An Incremental Improvement

https://github.com/WangTianduo/Prototypical-Networks

Prototypical Networks for Few-shot Learning

https://github.com/WangWenhao0716/Adapted-Center-and-Scale-Prediction

Adapted Center and Scale Prediction: More Stable and More Accurate

https://github.com/WangWenhao0716/DomainMix

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/WangY0906/mmdetection-for-study

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/Wangxy2180/darknetKinectDetect

YOLO9000: Better, Faster, Stronger

https://github.com/WangyiNTU/SCALNet

A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds

https://github.com/Wastoon/MOT-CenterNet

Weighted boxes fusion: Ensembling boxes from different object detection models

https://github.com/Wastoon/XinTong_CenterNet

Objects as Points

https://github.com/WaterScenes/Awesome-Water-Surface-Perception

WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces

https://github.com/Watson-BCA/HumanPostureRecognition

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

https://github.com/WavesUR/embedded_TSM

Non-local Neural Networks

https://github.com/WeiYangze/hibernate-demo

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/Wenchao-Du/LIR-for-Unsupervised-IR

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

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