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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/mattbierbaum/arxiv-public-datasets

공식 코드

On the Use of ArXiv as a Dataset

https://github.com/matteomaspero/overview_sct

공식 코드

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review

https://github.com/matthias-wright/art-fid

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ArtFID: Quantitative Evaluation of Neural Style Transfer

https://github.com/mattiasegu/darth

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DARTH: Holistic Test-time Adaptation for Multiple Object Tracking

https://github.com/maubreville/MitosisRegionOfInterest

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Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region

https://github.com/maups/covid19-satellite-analysis

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Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic

https://github.com/maxc01/addtree

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Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation

https://github.com/maximilianpi/islandldg

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Response to comment on Mutualism weaken the latitudinal diversity gradient among oceanic islands

https://github.com/maximrub/diseases-risk-factors

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Automatic Extraction of Disease Risk Factors from Medical Publications

https://github.com/maxiuw/uada3d

공식 코드

UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps

https://github.com/maxproto/iba

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Influencer Backdoor Attack on Semantic Segmentation

https://github.com/maycbj/dit

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DiT: Efficient Vision Transformers with Dynamic Token Routing

https://github.com/mayechi/lt3d-lf

공식 코드

Long-Tailed 3D Detection via Multi-Modal Fusion

https://github.com/mayu-ot/oc-cost

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Optimal Correction Cost for Object Detection Evaluation

https://github.com/mazurowski-lab/breastMRI_styletransfer

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Deep Learning for Breast MRI Style Transfer with Limited Training Data

https://github.com/mbar0075/object-detection-correlation-saliency-vs-depth

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Correlation of Object Detection Performance with Visual Saliency and Depth Estimation

https://github.com/mbar0075/sarlvision

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Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection

https://github.com/mbarsbey/implicit-compressibility

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Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD

https://github.com/mbarsbey/sgd_comp_gen

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Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks

https://github.com/mbzuai-nlp/fakenews-dataset

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Adapting Fake News Detection to the Era of Large Language Models

https://github.com/mcahny/object_localization_network

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Learning Open-World Object Proposals without Learning to Classify

https://github.com/mcahny/rovit

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Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers

https://github.com/mccorbineau/iRestNet

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Deep Unfolding of a Proximal Interior Point Method for Image Restoration

https://github.com/mcg-nju/adamixer

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AdaMixer: A Fast-Converging Query-Based Object Detector

https://github.com/mcg-nju/basictad

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BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection

https://github.com/mcg-nju/deqdet

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Deep Equilibrium Object Detection

https://github.com/mcg-nju/link

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LinK: Linear Kernel for LiDAR-based 3D Perception

https://github.com/mcg-nju/logn

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Logit Normalization for Long-tail Object Detection

https://github.com/mcg-nju/sparsebev

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SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

https://github.com/mcg-nju/stageinteractor

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StageInteractor: Query-based Object Detector with Cross-stage Interaction

https://github.com/mcg-nju/structured-sparse-rcnn

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Structured Sparse R-CNN for Direct Scene Graph Generation

https://github.com/mcg-nju/tia

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Task-specific Inconsistency Alignment for Domain Adaptive Object Detection

https://github.com/mchong6/JoJoGAN

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JoJoGAN: One Shot Face Stylization

https://github.com/mcv-m6-video/mcv-m6-2021-team4

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Video Surveillance for Road Traffic Monitoring

https://github.com/mczhuge/ICON

공식 코드

Salient Object Detection via Integrity Learning

https://github.com/mdmotaharmahtab/banglabait

공식 코드

BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset

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