Papers with Code 아카이브

Object Detection

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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/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/ShramanPramanick/VoLTA

공식 코드

VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment

https://github.com/ShuLiu1993/PANet

공식 코드

Path Aggregation Network for Instance Segmentation

https://github.com/ShuhanChen/PGAR_ECCV20

공식 코드

RGB-D Salient Object Detection: A Survey

https://github.com/Simon-Lepage/LRVSF-Benchmark

공식 코드

LRVS-Fashion: Extending Visual Search with Referring Instructions

https://github.com/Simula-COMPLEX/pure

공식 코드

Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving

https://github.com/Sina-Mohammadi/DFNet

공식 코드

DFNet: Discriminative feature extraction and integration network for salient object detection

https://github.com/So-Cool/bLIMEy

공식 코드

LIMEtree: Consistent and Faithful Multi-class Explanations

https://github.com/SoheilaHatami/Face-Mask-Detection

공식 코드

Wearing face mask detection using deep learning through COVID-19 pandemic

https://github.com/Sompote/YOLO9tr

공식 코드

YOLO9tr: A Lightweight Model for Pavement Damage Detection Utilizing a Generalized Efficient Layer Aggregation Network and Attention Mechanism

https://github.com/SonyResearch/RAW-Diffusion

공식 코드

RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation

https://github.com/StarsThu2016/ApproxDet

공식 코드

ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles

https://github.com/StevenGrove/DynamicHead

공식 코드

Fine-Grained Dynamic Head for Object Detection

https://github.com/StevenGrove/LearnableTreeFilterV2

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Rethinking Learnable Tree Filter for Generic Feature Transform

https://github.com/StiphyJay/FastPillars

공식 코드

FastPillars: A Deployment-friendly Pillar-based 3D Detector

https://github.com/SunYM2020/UA-CMDet

공식 코드

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

https://github.com/Sunmi-AI-Lab/head-detection-and-tracking

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Towards in-store multi-person tracking using head detection and track heatmaps

https://github.com/SwinTransformer/Feature-Distillation

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Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

https://github.com/SwinTransformer/Transformer-SSL

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Self-Supervised Learning with Swin Transformers

https://github.com/SymbioticLab/FedScale

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FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

https://github.com/SysCV/qdtrack

공식 코드

Quasi-Dense Similarity Learning for Multiple Object Tracking

https://github.com/TAMU-VITA/UAV-NDFT

공식 코드

Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

https://github.com/THU-MIG/yolov10

공식 코드

YOLOv10: Real-Time End-to-End Object Detection

https://github.com/THUrssq/Tianchi04

공식 코드

Sparse Adversarial Attack to Object Detection

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