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2D Classification

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

https://github.com/aaaaaasuka/datafree_backdoor_attacks

공식 코드

Data Free Backdoor Attacks

https://github.com/aaronlifenghan/swed_covid_tm

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Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method

https://github.com/aaronz345/gtsinger

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GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks

https://github.com/aaronz345/tcsinger2

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TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis

https://github.com/aashish2000/anna

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ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions

https://github.com/aavek/aeolus-ocean

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Aeolus Ocean -- A simulation environment for the autonomous COLREG-compliant navigation of Unmanned Surface Vehicles using Deep Reinforcement Learning and Maritime Object Detection

https://github.com/abanitalebi/Model-Composition

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Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?

https://github.com/abanitalebi/RePaint

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Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples

https://github.com/abanitalebi/simrod

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SimROD: A Simple Adaptation Method for Robust Object Detection

https://github.com/abastola0/cpad

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Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication

https://github.com/abdesselamferdi/g-yolov11

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Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays

https://github.com/abdoelsayed2016/legal-question-answering-review

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Exploring the State of the Art in Legal QA Systems

https://github.com/abdoelsayed2016/table-detection-structure-recognition

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Deep learning for table detection and structure recognition: A survey

https://github.com/abdulhannankhan/f2dnet

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F2DNet: Fast Focal Detection Network for Pedestrian Detection

https://github.com/abertsch72/perspective-shifting

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He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues

https://github.com/abhi1kumar/deviant

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DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

https://github.com/abhi1kumar/groomed_nms

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GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection

https://github.com/abhi1kumar/seabird

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SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

https://github.com/abhibha1807/robustifying_visual_perception

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Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer

https://github.com/abhijeetptl5/oral_cyto_dataset

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A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma

https://github.com/abhinavkashyap/dct

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So Different Yet So Alike! Constrained Unsupervised Text Style Transfer

https://github.com/abhineet123/animal_detection

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Animal Detection in Man-made Environments

https://github.com/abhineet123/deep_mdp

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Deep MDP: A Modular Framework for Multi-Object Tracking

https://github.com/abhishekaich27/proscale-pytorch

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Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation

https://github.com/abhishekbaghel11/Traffic-light-detection-in-adverse-weather-conditions

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Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions

https://github.com/abnano/sciqu

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SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories

https://github.com/abraham-einstein/smfnet

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A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion

https://github.com/abrahami/sustainable-high-quality-wikis

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A Test of Time: Predicting the Sustainable Success of Online Collaboration in Wikipedia

https://github.com/abrain-one/nn-dataset

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LEMUR Neural Network Dataset: Towards Seamless AutoML

https://github.com/abrain-one/nn-plots

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LEMUR Neural Network Dataset: Towards Seamless AutoML

https://github.com/abrain-one/nn-vr

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LEMUR Neural Network Dataset: Towards Seamless AutoML

https://github.com/abril4416/Mod-Zero-VQA

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Modularized Zero-shot VQA with Pre-trained Models

https://github.com/abukhalaf/FeedbackFromPixels_L4DC2021

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Feedback from Pixels: Output Regulation via Learning-Based Scene View Synthesis

https://github.com/acaelles97/devis

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DeVIS: Making Deformable Transformers Work for Video Instance Segmentation

https://github.com/acfr/cassdetect

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Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides

https://github.com/achouhan93/eur-lex-sum

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EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain

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