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/hht1996ok/ea-bev

공식 코드

EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

https://github.com/hhx0320/asnn

공식 코드

Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding

https://github.com/hi-ft/erd

공식 코드

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

https://github.com/hieutrong512/Yoloz

공식 코드

YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

https://github.com/hik-lab/ssod

공식 코드

Label Matching Semi-Supervised Object Detection

https://github.com/hikvision-research/SSOD

공식 코드

Label Matching Semi-Supervised Object Detection

https://github.com/hikvision-research/davar-lab-ml

공식 코드

Distilling Object Detectors With Global Knowledge

https://github.com/hikvision-research/probabilisticteacher

공식 코드

Learning Domain Adaptive Object Detection with Probabilistic Teacher

https://github.com/hila-chefer/Transformer-MM-Explainability

공식 코드

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

https://github.com/hirl-team/eurnet-image

공식 코드

EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data

https://github.com/hitachi-rd-cv/CDB-loss

공식 코드

Class-Difficulty Based Methods for Long-Tailed Visual Recognition

https://github.com/hitsz-nrsl/de6d

공식 코드

Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness

https://github.com/hiyouga/easyr1

공식 코드

VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning

https://github.com/hkbu-hpml/easnet

공식 코드

EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching

https://github.com/hkchengrex/XMem

공식 코드

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

https://github.com/hku-tasr/anywheredoor

공식 코드

AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection

https://github.com/hkust-drive-ai-lab/follownet

공식 코드

FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling

https://github.com/hkxiao/zs-cosod

공식 코드

Zero-Shot Co-salient Object Detection Framework

https://github.com/hkzhang91/edgeformer

공식 코드

ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer

https://github.com/hkzhang91/pacc-net

공식 코드

ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer

https://github.com/hkzhang91/parc-net

공식 코드

ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer

https://github.com/hkzhang95/DynamicRCNN

공식 코드

Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

https://github.com/hlesmqh/WS3D

공식 코드

Weakly Supervised 3D Object Detection from Lidar Point Cloud

https://github.com/hli2020/feature_intertwiner

공식 코드

Feature Intertwiner for Object Detection

https://github.com/hli2020/lps_tip15

공식 코드

Inner and Inter Label Propagation: Salient Object Detection in the Wild

https://github.com/hli2020/zoom_network

공식 코드

Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection

https://github.com/hlings/acrofod

공식 코드

AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection

https://github.com/hlsheng1/ct3d

공식 코드

Improving 3D Object Detection with Channel-wise Transformer

https://github.com/hlsheng1/ct3d-plusplus

공식 코드

CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer

https://github.com/hlsheng1/rdiou

공식 코드

Rethinking IoU-based Optimization for Single-stage 3D Object Detection

https://github.com/hlwang1124/AAFramework

공식 코드

We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation

https://github.com/hmarichal93/apd

공식 코드

Automatic Wood Pith Detector: Local Orientation Estimation and Robust Accumulation

https://github.com/hmph/dynamically-instantiated-network

공식 코드

Pixelwise Instance Segmentation with a Dynamically Instantiated Network

https://github.com/hms97/evd4uav

공식 코드

EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV

https://github.com/hnu-vis/datacrafter

공식 코드

Human-Guided Image Generation for Expanding Small-Scale Training Image Datasets

https://github.com/hnuzhy/bpjdet

공식 코드

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection

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