Papers with Code 아카이브

2D Classification

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코드

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

https://github.com/detectRecog/ZoomNet

공식 코드

ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection

https://github.com/devavrattomar/sst

공식 코드

Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

https://github.com/devichand579/Instance_seg_teeth

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Instance Segmentation and Teeth Classification in Panoramic X-rays

https://github.com/devrishivermaa/capsule-commandos

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Multi-Class Abnormality Classification Task in Video Capsule Endoscopy

https://github.com/devvansh1997/bgvp

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Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian Dataset

https://github.com/dewenzeng/cl-tci

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Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays

https://github.com/dfki-nlp/keepha_annotation_guidelines

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A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages

https://github.com/dginev/arxiv-statement-classification

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Scientific Statement Classification over arXiv.org

https://github.com/dginev/showcase-statement-classification

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Scientific Statement Classification over arXiv.org

https://github.com/dgknrsln/legalcitationrecommendation

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Citation Recommendation on Scholarly Legal Articles

https://github.com/dheeraj7596/HashNews

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News Meets Microblog: Hashtag Annotation via Retriever-Generator

https://github.com/dialogue-evaluation/rusentne-evaluation

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Large Language Models in Targeted Sentiment Analysis

https://github.com/dianzl/sodformer

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SODFormer: Streaming Object Detection with Transformer Using Events and Frames

https://github.com/digantamisra98/Mish

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Mish: A Self Regularized Non-Monotonic Activation Function

https://github.com/digitalTranshumant/WikiRecNet-ComplexRec2020

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Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning

https://github.com/dillonreis/real-time-flying-object-detection_with_yolov8

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Real-Time Flying Object Detection with YOLOv8

https://github.com/dimitymiller/openset_detection

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Uncertainty for Identifying Open-Set Errors in Visual Object Detection

https://github.com/dimtziwnas/InHandScanningICCV15_Reconstruction

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3D Object Reconstruction from Hand-Object Interactions

https://github.com/dinghaoxuan/oneshotlp

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A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot

https://github.com/dinghaoxuan/samlp

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SamLP: A Customized Segment Anything Model for License Plate Detection

https://github.com/dingjiansw101/AerialDetection

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Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

https://github.com/dingkeyan93/IQA-optimization

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Comparison of Image Quality Models for Optimization of Image Processing Systems

https://github.com/dingmike001/saliendet-open-detection

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SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving

https://github.com/dingmyu/D4LCN

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Learning Depth-Guided Convolutions for Monocular 3D Object Detection

https://github.com/dingmyu/davit

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DaViT: Dual Attention Vision Transformers

https://github.com/dingmyu/doubly-robust-self-training

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Doubly Robust Self-Training

https://github.com/dingsheng-ong/ipr-gan

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Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack

https://github.com/dipayan1109033/edu-video-visual-detection

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Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos

https://github.com/dipayan1109033/lvvo_dataset

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Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos

https://github.com/dirtyharrylyl/hake-ava

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Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions

https://github.com/discoveryanalyticscenter/enerex

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Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions

https://github.com/disen-hu/fasterrcnn_fpn_dcn

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Object recognition in atmospheric turbulence scenes

https://github.com/distsup/DistSup

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Robust Training of Vector Quantized Bottleneck Models

https://github.com/diux-xview/xview3-reference

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xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery

https://github.com/divadi/detmatch

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DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection

https://github.com/divadi/solofusion

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Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

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