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2D Classification

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

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/pfeiferd/TopicGrouperJ

공식 코드

Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling

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/meta-tasnet

공식 코드

Meta-learning Extractors for Music Source Separation

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/phanchauthang/dsaa-2023-kaggle

공식 코드

Link Prediction for Wikipedia Articles as a Natural Language Inference Task

https://github.com/phd-taoliu/fcba

공식 코드

Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning

https://github.com/phenixace/narrative-framing

공식 코드

Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing

https://github.com/phflot/tfake

공식 코드

T-FAKE: Synthesizing Thermal Images for Facial Landmarking

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/philipp-kohl/scoping-review-active-learning-er

공식 코드

Scoping Review of Active Learning Strategies and their Evaluation Environments for Entity Recognition Tasks

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/phillipecardenuto/ai-wblots-detector

공식 코드

Explainable Artifacts for Synthetic Western Blot Source Attribution

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

공식 코드

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

https://github.com/phoenix104104/fast_blind_video_consistency

공식 코드

Learning Blind Video Temporal Consistency

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/pierlj/aaf_framework

공식 코드

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

https://github.com/pierrechouteau/umss_icassp

공식 코드

A fully differentiable model for unsupervised singing voice separation

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

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

https://github.com/pingyang1117/smiletrack_official

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SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking

https://github.com/pixie8888/mvsdet

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

https://github.com/piyushy1/OSMTrafficEstimation

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

https://github.com/pjl1995/CTracker

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

https://github.com/pjlab-ADG/neuralsim

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StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views

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

공식 코드

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

https://github.com/pjlab-adg/awesome-knowledge-driven-ad

공식 코드

Towards Knowledge-driven Autonomous Driving

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