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/fraunhoferiks/smf-object-detection

공식 코드

Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework

https://github.com/freeformrobotics/eaefnet

공식 코드

Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks

https://github.com/fregu856/ebms_3dod

공식 코드

Accurate 3D Object Detection using Energy-Based Models

https://github.com/fregu856/ebms_regression

공식 코드

Energy-Based Models for Deep Probabilistic Regression

https://github.com/freshn/anti-aliasing-tiny-object-detection

공식 코드

The Importance of Anti-Aliasing in Tiny Object Detection

https://github.com/frezaeix/VISGA_Public

공식 코드

Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection

https://github.com/frh23333/mepu-owod

공식 코드

Unsupervised Recognition of Unknown Objects for Open-World Object Detection

https://github.com/fsod/cd-fsod

공식 코드

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection

https://github.com/fu0511/dynamic-lightweight-upsampling

공식 코드

Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels

https://github.com/fudan-zvg/DDMP

공식 코드

Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection

https://github.com/fudan-zvg/SETR

공식 코드

Vision Transformers: From Semantic Segmentation to Dense Prediction

https://github.com/fudan-zvg/deepinteraction

공식 코드

DeepInteraction: 3D Object Detection via Modality Interaction

https://github.com/fudan-zvg/dgmn2

공식 코드

Dynamic Graph Message Passing Networks

https://github.com/fudan-zvg/ego3rt

공식 코드

Learning Ego 3D Representation as Ray Tracing

https://github.com/fudan-zvg/partner

공식 코드

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection

https://github.com/fudan-zvg/polarformer

공식 코드

PolarFormer: Multi-camera 3D Object Detection with Polar Transformer

https://github.com/fudan-zvg/seaformer

공식 코드

SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition

https://github.com/fudanxu/lora-det

공식 코드

Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images

https://github.com/fujiry0/egosurgery

공식 코드

EgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos

https://github.com/fundamentalvision/Deformable-DETR

공식 코드

Deformable DETR: Deformable Transformers for End-to-End Object Detection

https://github.com/fundamentalvision/parameterized-ap-loss

공식 코드

Searching Parameterized AP Loss for Object Detection

https://github.com/fupiao1998/TrasformerSOD

공식 코드

Generative Transformer for Accurate and Reliable Salient Object Detection

https://github.com/fupiao1998/transformersod

공식 코드

Generative Transformer for Accurate and Reliable Salient Object Detection

https://github.com/fuqichen1998/SequentialVotingDet

공식 코드

Sequential Voting with Relational Box Fields for Active Object Detection

https://github.com/fushenghao/privacypreservingml

공식 코드

Human-imperceptible, Machine-recognizable Images

https://github.com/fuyaluo/morngan

공식 코드

Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization

https://github.com/fuying-wang/mgca

공식 코드

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

https://github.com/fzi-forschungszentrum-informatik/NNAD

공식 코드

Simultaneous Object Detection and Semantic Segmentation

https://github.com/gabriel-sgama/semantic-superpoint

공식 코드

Semantic SuperPoint: A Deep Semantic Descriptor

https://github.com/gabrieleciravegna/knowledge-driven-active-learning

공식 코드

Knowledge-driven Active Learning

https://github.com/gabrielhuang/awesome-few-shot-object-detection

공식 코드

A Survey of Self-Supervised and Few-Shot Object Detection

https://github.com/gaia-vision/gaia-ssl

공식 코드

DATA: Domain-Aware and Task-Aware Self-supervised Learning

https://github.com/gakkistar/fishmot

공식 코드

FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching

https://github.com/galaxy-zrx/edgehead

공식 코드

Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object Detection

https://github.com/gamepai0811/fmsa

공식 코드

Efficient Feature Fusion for UAV Object Detection

https://github.com/ganwanshui/es6d

공식 코드

ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework

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