Papers with Code 아카이브

2D Object Detection

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전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/deepinsight/insightface

공식 코드

Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing

https://github.com/deeplearning-wisc/stud

공식 코드

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

https://github.com/deeplearning-wisc/vos

공식 코드

VOS: Learning What You Don't Know by Virtual Outlier Synthesis

https://github.com/deepmind/deepmind-research

공식 코드

Unsupervised Learning of Object Keypoints for Perception and Control

https://github.com/deeppathology/hierarchicalfcos

공식 코드

Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector

https://github.com/deepplants/vit-pcm

공식 코드

Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation

https://github.com/deepsemantic/image_captioning

공식 코드

Image Captioning with Deep Bidirectional LSTMs

https://github.com/deeptibhegde/attentiveprototypesfuda

공식 코드

Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection

https://github.com/deku-0621/tide

공식 코드

TIDE: Test Time Few Shot Object Detection

https://github.com/dengpingfan/sodbenchmark

공식 코드

Salient Objects in Clutter

https://github.com/derekabc/gans-agriculture

공식 코드

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

https://github.com/derrickxunu/cobevt

공식 코드

CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

https://github.com/derrickxunu/mpda

공식 코드

Bridging the Domain Gap for Multi-Agent Perception

https://github.com/derryhub/fairmot-attack

공식 코드

Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers

https://github.com/destiny301/dpr

공식 코드

Patch-based Selection and Refinement for Early Object Detection

https://github.com/detectRecog/ZoomNet

공식 코드

ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection

https://github.com/devichand579/Instance_seg_teeth

공식 코드

Instance Segmentation and Teeth Classification in Panoramic X-rays

https://github.com/devvansh1997/bgvp

공식 코드

Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian Dataset

https://github.com/dewenzeng/cl-tci

공식 코드

Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays

https://github.com/dianzl/sodformer

공식 코드

SODFormer: Streaming Object Detection with Transformer Using Events and Frames

https://github.com/digantamisra98/Mish

공식 코드

Mish: A Self Regularized Non-Monotonic Activation Function

https://github.com/dillonreis/real-time-flying-object-detection_with_yolov8

공식 코드

Real-Time Flying Object Detection with YOLOv8

https://github.com/dimitymiller/openset_detection

공식 코드

Uncertainty for Identifying Open-Set Errors in Visual Object Detection

https://github.com/dinghaoxuan/oneshotlp

공식 코드

A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot

https://github.com/dinghaoxuan/samlp

공식 코드

SamLP: A Customized Segment Anything Model for License Plate Detection

https://github.com/dingjiansw101/AerialDetection

공식 코드

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

https://github.com/dingmike001/saliendet-open-detection

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SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving

https://github.com/dingmyu/D4LCN

공식 코드

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

https://github.com/dingmyu/davit

공식 코드

DaViT: Dual Attention Vision Transformers

https://github.com/dingmyu/doubly-robust-self-training

공식 코드

Doubly Robust Self-Training

https://github.com/dinhhieuhoang/meganet

공식 코드

MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation

https://github.com/dipayan1109033/edu-video-visual-detection

공식 코드

Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos

https://github.com/dipayan1109033/lvvo_dataset

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Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos

https://github.com/dirtyharrylyl/hake-ava

공식 코드

Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions

https://github.com/disen-hu/fasterrcnn_fpn_dcn

공식 코드

Object recognition in atmospheric turbulence scenes

https://github.com/diux-xview/xview3-reference

공식 코드

xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery

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