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/pengzhiliang/g2sd

공식 코드

Generic-to-Specific Distillation of Masked Autoencoders

https://github.com/pengzhiliang/lda

공식 코드

Long-tailed Distribution Adaptation

https://github.com/peterande/get-group-event-transformer

공식 코드

GET: Group Event Transformer for Event-Based Vision

https://github.com/peterande/sast

공식 코드

Scene Adaptive Sparse Transformer for Event-based Object Detection

https://github.com/pfdp0/ContrasTR

공식 코드

Contrastive Learning for Multi-Object Tracking with Transformers

https://github.com/pfjaeger/medicaldetectiontoolkit

공식 코드

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

https://github.com/pfnet-research/picking-instruction

공식 코드

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions

https://github.com/pfnet/chainercv

공식 코드

ChainerCV: a Library for Deep Learning in Computer Vision

https://github.com/phi-wol/hydra

공식 코드

Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception

https://github.com/philip-mueller/adpd

공식 코드

Anatomy-Driven Pathology Detection on Chest X-rays

https://github.com/philip-mueller/lovt

공식 코드

Joint Learning of Localized Representations from Medical Images and Reports

https://github.com/philip-mueller/wsrpn

공식 코드

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling

https://github.com/philipposg/osdd

공식 코드

Detecting Object States vs Detecting Objects: A New Dataset and a Quantitative Experimental Study

https://github.com/philkr/magic_init

공식 코드

Data-dependent Initializations of Convolutional Neural Networks

https://github.com/phoenix-v/digeo

공식 코드

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

https://github.com/phucnda/ha-rdet

공식 코드

HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object Detection

https://github.com/phyllish/dvdet

공식 코드

Aerial Monocular 3D Object Detection

https://github.com/physiologicailab/sam-cl

공식 코드

Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images

https://github.com/pierlj/aaf_framework

공식 코드

A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images

https://github.com/pieterblok/boxal

공식 코드

Improved detection of discarded fish species through BoxAL active learning

https://github.com/piggy2021/ALGRF

공식 코드

Video Salient Object Detection via Adaptive Local-Global Refinement

https://github.com/piggyjerry/dc-net

공식 코드

DC-Net: Divide-and-Conquer for Salient Object Detection

https://github.com/pingyang1117/PRBNet_PyTorch

공식 코드

Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection

https://github.com/pingyang1117/smiletrack_official

공식 코드

SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking

https://github.com/pixie8888/mvsdet

공식 코드

MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps

https://github.com/piyushy1/OSMTrafficEstimation

공식 코드

Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic Cameras

https://github.com/pjl1995/CTracker

공식 코드

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

https://github.com/pjlab-adg/3dtrans

공식 코드

Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection

https://github.com/pjlab-adg/detzero

공식 코드

DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds

https://github.com/pjlab-adg/pcsim

공식 코드

Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator

https://github.com/pjlallen/s2former-or

공식 코드

S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR

https://github.com/pjlallen/udun

공식 코드

Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation

https://github.com/pku-icst-mipl/sia-ovd_acmmm2024

공식 코드

SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection

https://github.com/pkuCactus/BDCN

공식 코드

Bi-Directional Cascade Network for Perceptual Edge Detection

https://github.com/pl-share/mpsn

공식 코드

MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings

https://github.com/plant-ai-biophysics-lab/agile

공식 코드

AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification

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