Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/SBrandeis/k-core-embedding

공식 코드

About Graph Degeneracy, Representation Learning and Scalability

https://github.com/SHI-Labs/Convolutional-MLPs

공식 코드

ConvMLP: Hierarchical Convolutional MLPs for Vision

https://github.com/SHI-Labs/Neighborhood-Attention-Transformer

공식 코드

Neighborhood Attention Transformer

https://github.com/SHI-Labs/Pseudo-IoU-for-Anchor-Free-Object-Detection

공식 코드

Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection

https://github.com/SIAnalytics/RHINO

공식 코드

Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer

https://github.com/SJTU-Det/R3Det_Tensorflow

공식 코드

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

https://github.com/SJTU-LuHe/TransVOD

공식 코드

End-to-End Video Object Detection with Spatial-Temporal Transformers

https://github.com/SJTU-Thinklab-Det/DOTA-DOAI

공식 코드

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

https://github.com/SJTU-Thinklab-Det/OHDet_Tensorflow

공식 코드

On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited

https://github.com/SJTU-Thinklab-Det/r3det-on-mmdetection

공식 코드

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

https://github.com/SLDGroup/GreedyViG

공식 코드

GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs

https://github.com/SLWZwaard/DMT

공식 코드

Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning

https://github.com/SS47816/AGI-Elo

공식 코드

AGI-Elo: How Far Are We From Mastering A Task?

https://github.com/STVIR/Grid-R-CNN

공식 코드

Grid R-CNN Plus: Faster and Better

https://github.com/SYangDong/tse-t

공식 코드

Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection

https://github.com/Sagarika-Singh-99/indonesian_manhwa_translation

공식 코드

Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation

https://github.com/SaliencyMix/SaliencyMix

공식 코드

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

https://github.com/Scalsol/RepPointsV2

공식 코드

RepPoints V2: Verification Meets Regression for Object Detection

https://github.com/Scalsol/mega.pytorch

공식 코드

Memory Enhanced Global-Local Aggregation for Video Object Detection

https://github.com/SeanChenxy/TDRN

공식 코드

Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos

https://github.com/SeanChenxy/TSSD-OTA

공식 코드

Temporally Identity-Aware SSD with Attentional LSTM

https://github.com/Sekeh-Lab/FogGuard

공식 코드

FogGuard: guarding YOLO against fog using perceptual loss

https://github.com/Sekunde/3D-SIS

공식 코드

3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

https://github.com/Sentient07/HeadHunter--T

공식 코드

Tracking Pedestrian Heads in Dense Crowd

https://github.com/SeyedAmirTafrishi/LCS_Filter

공식 코드

Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection

https://github.com/ShangHua-Gao/RFNext

공식 코드

RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks

https://github.com/ShangHua-Gao/SOD100K

공식 코드

Highly Efficient Salient Object Detection with 100K Parameters

https://github.com/Shank2358/GGHL

공식 코드

A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection

https://github.com/ShaohuiLin/SSR

공식 코드

Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning

https://github.com/ShaoqingRen/faster_rcnn

공식 코드

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

https://github.com/Sharath-girish/LTH-ObjectRecognition

공식 코드

The Lottery Ticket Hypothesis for Object Recognition

https://github.com/ShenSuanZiZhen/NIID_Person_Detection

공식 코드

NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data

https://github.com/ShenZheng2000/SAPNet-for-image-deraining

공식 코드

SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining

https://github.com/ShiQiu0419/attentions_in_3D_detection

공식 코드

Investigating Attention Mechanism in 3D Point Cloud Object Detection

https://github.com/ShoufaChen/CycleMLP

공식 코드

CycleMLP: A MLP-like Architecture for Dense Prediction

https://github.com/Shrajan/AAAI-2022

공식 코드

3D-OOCS: Learning Prostate Segmentation with Inductive Bias

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