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/jaychempan/LAE-DINO

공식 코드

Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community

https://github.com/jbji/repvf

공식 코드

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

https://github.com/jbwang1997/OBBDetection

공식 코드

Oriented R-CNN for Object Detection

https://github.com/jbwang1997/aopg

공식 코드

Anchor-free Oriented Proposal Generator for Object Detection

https://github.com/jbwang1997/crosskd

공식 코드

CrossKD: Cross-Head Knowledge Distillation for Object Detection

https://github.com/jcjohnson/densecap

공식 코드

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

https://github.com/jdsobek/medyolo

공식 코드

MedYOLO: A Medical Image Object Detection Framework

https://github.com/jean50621/Badminton_Challenge

공식 코드

An All Deep System for Badminton Game Analysis

https://github.com/jeetv/gmvd

공식 코드

Bringing Generalization to Deep Multi-View Pedestrian Detection

https://github.com/jefferyzhan/griffon

공식 코드

Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring

https://github.com/jeongjin0/invisible-backdoor-object-detection

공식 코드

Mask-based Invisible Backdoor Attacks on Object Detection

https://github.com/jerpelhan/GeCo

공식 코드

A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

https://github.com/jerrysunning/drrnet

공식 코드

DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection

https://github.com/jessiew0806/bi-lrfusion

공식 코드

Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection

https://github.com/jgiroux8/T_FFTRadNet

공식 코드

T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals

https://github.com/jgocm/ssl-detector

공식 코드

An Embedded Monocular Vision Approach for Ground-Aware Objects Detection and Position Estimation

https://github.com/jgwak/GSDN

공식 코드

Generative Sparse Detection Networks for 3D Single-shot Object Detection

https://github.com/jh-research/multipleteachers

공식 코드

Power of Cooperative Supervision: Multiple Teachers Framework for Enhanced 3D Semi-Supervised Object Detection

https://github.com/jhcho99/coformer

공식 코드

Collaborative Transformers for Grounded Situation Recognition

https://github.com/jhcho99/gsrtr

공식 코드

Grounded Situation Recognition with Transformers

https://github.com/jhl-det/rgbd_video_sod

공식 코드

ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection

https://github.com/jhl-hust/trasw

공식 코드

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

https://github.com/jhuang81/weak-sup-visual-grounding

공식 코드

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

https://github.com/jiadingcn/geminifusion

공식 코드

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer

https://github.com/jiajiali04/semiweeds

공식 코드

Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection

https://github.com/jialeli1/from-voxel-to-point

공식 코드

From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder

https://github.com/jialeli1/mgaf-3dssd

공식 코드

Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud

https://github.com/jiaming-wang/GLSD

공식 코드

GLSD: The Global Large-Scale Ship Database and Baseline Evaluations

https://github.com/jianghaojun/CondenseNetV2

공식 코드

CondenseNet V2: Sparse Feature Reactivation for Deep Networks

https://github.com/jiangzhengkai/LSTS

공식 코드

Learning Where to Focus for Efficient Video Object Detection

https://github.com/jiaojiayuasd/dilateformer

공식 코드

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition

https://github.com/jiaweihe1996/ba-det

공식 코드

3D Video Object Detection with Learnable Object-Centric Global Optimization

https://github.com/jiaweilian/benchmarking_physical_attack

공식 코드

PADetBench: Towards Benchmarking Physical Attacks against Object Detection

https://github.com/jiaweilian/padetbench

공식 코드

PADetBench: Towards Benchmarking Physical Attacks against Object Detection

https://github.com/jiaxi-wu/MPSR

공식 코드

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

https://github.com/jiayouqin/h-splitter

공식 코드

Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation

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