Papers with Code 아카이브

2D Object Detection

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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/facebookresearch/r-mae

공식 코드

R-MAE: Regions Meet Masked Autoencoders

https://github.com/facebookresearch/self_defeating_improvements

공식 코드

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems

https://github.com/facebookresearch/sylph-few-shot-detection

공식 코드

Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection

https://github.com/facebookresearch/unbiased-teacher

공식 코드

Unbiased Teacher for Semi-Supervised Object Detection

https://github.com/facebookresearch/unbiased-teacher-v2

공식 코드

Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors

https://github.com/facebookresearch/video-nonlocal-net

공식 코드

Non-local Neural Networks

https://github.com/facebookresearch/vlpart

공식 코드

Going Denser with Open-Vocabulary Part Segmentation

https://github.com/facebookresearch/votenet

공식 코드

Deep Hough Voting for 3D Object Detection in Point Clouds

https://github.com/facebookresearch/xcit

공식 코드

XCiT: Cross-Covariance Image Transformers

https://github.com/facias914/A-Simple-Detector-is-a-Strong-Tracker

공식 코드

A Simple Detector with Frame Dynamics is a Strong Tracker

https://github.com/facias914/sood-mcl

공식 코드

Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection

https://github.com/fahadshamshad/awesome-transformers-in-medical-imaging

공식 코드

Transformers in Medical Imaging: A Survey

https://github.com/faiyazabdullah/mosquitofusion

공식 코드

MosquitoFusion: A Multiclass Dataset for Real-Time Detection of Mosquitoes, Swarms, and Breeding Sites Using Deep Learning

https://github.com/fangyanwen1106/RLANet

공식 코드

Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation

https://github.com/fangyi-chen/sqr

공식 코드

Enhanced Training of Query-Based Object Detection via Selective Query Recollection

https://github.com/fanq15/FewX

공식 코드

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

https://github.com/fanq15/GCoNet

공식 코드

Group Collaborative Learning for Co-Salient Object Detection

https://github.com/fanyang587/MGL

공식 코드

Mutual Graph Learning for Camouflaged Object Detection

https://github.com/fanyihua0309/friendnet

공식 코드

FriendNet: Detection-Friendly Dehazing Network

https://github.com/faridghm/meta-sel

공식 코드

3D-model ShapeNet Core Classification using Meta-Semantic Learning

https://github.com/fatemehshiri/spatial-mm

공식 코드

An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models

https://github.com/fawazsammani/look-and-modify

공식 코드

Look and Modify: Modification Networks for Image Captioning

https://github.com/fcakyon/sahi-benchmark

공식 코드

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

https://github.com/fcdl94/RobotChallenge

공식 코드

The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots

https://github.com/fcdl94/mma

공식 코드

Modeling Missing Annotations for Incremental Learning in Object Detection

https://github.com/fcendra/sl3d

공식 코드

SL3D: Self-supervised-Self-labeled 3D Recognition

https://github.com/fcjian/AeDet

공식 코드

AeDet: Azimuth-invariant Multi-view 3D Object Detection

https://github.com/fcjian/TOOD

공식 코드

TOOD: Task-aligned One-stage Object Detection

https://github.com/fcjian/loce

공식 코드

Exploring Classification Equilibrium in Long-Tailed Object Detection

https://github.com/fedezocco/2MMUsMed

공식 코드

Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcare

https://github.com/fedezocco/moreeffeffdetsandwpbb-tensorflow

공식 코드

Towards More Efficient EfficientDets and Low-Light Real-Time Marine Debris Detection

https://github.com/fedml-ai/fedcv

공식 코드

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

https://github.com/feeling0414-lab/V2X-AHD

공식 코드

V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network

https://github.com/feibryantkit/lf-tracy

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LF Tracy: A Unified Single-Pipeline Approach for Salient Object Detection in Light Field Cameras

https://github.com/feichtenhofer/detect-track

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Detect to Track and Track to Detect

https://github.com/felime/rodeo

공식 코드

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images

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