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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/KangchengLiu/RM3D

공식 코드

A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing

https://github.com/Karel911/TRACER

공식 코드

TRACER: Extreme Attention Guided Salient Object Tracing Network

https://github.com/KarenUllrich/Tutorial-SoftWeightSharingForNNCompression

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Soft Weight-Sharing for Neural Network Compression

https://github.com/KenYu910645/perspective-aware-convolution

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Perspective-aware Convolution for Monocular 3D Object Detection

https://github.com/KeqiangSun/FAB

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FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos

https://github.com/Khayrulbuet13/LymphoML

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Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep Learning

https://github.com/KimSoybean/ScratchDet

공식 코드

ScratchDet: Training Single-Shot Object Detectors from Scratch

https://github.com/KiveeDong/CentripetalNet

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CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

https://github.com/Kohei-Matsuura/Non-parallel-VC-on-Mboshi

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Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition

https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark

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Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

https://github.com/KostadinovShalon/fever-ood

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FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection

https://github.com/Kthyeon/ssfod

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Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection

https://github.com/KunZhou9646/Speaker-independent-emotional-voice-conversion-based-on-conditional-VAW-GAN-and-CWT

공식 코드

Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion

https://github.com/KunZhou9646/emotional-voice-conversion-with-CycleGAN-and-CWT-for-Spectrum-and-F0

공식 코드

Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data

https://github.com/KunZhou9646/seq2seq-EVC

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Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training

https://github.com/Kunhao-Liu/StyleRF

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StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields

https://github.com/KuofengGao/CIBA

공식 코드

Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning

https://github.com/KuofengGao/IRBA

공식 코드

Imperceptible and Robust Backdoor Attack in 3D Point Cloud

https://github.com/KupynOrest/DeblurGAN

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DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

https://github.com/KupynOrest/DeblurGANv2

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DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

https://github.com/KupynOrest/instance_augmentation

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Dataset Enhancement with Instance-Level Augmentations

https://github.com/KurdishBLARK/HawramiClassification

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Shifting from endangerment to rebirth in the Artificial Intelligence Age: An Ensemble Machine Learning Approach for Hawrami Text Classification

https://github.com/KurdishBLARK/InterdialectCorpus

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Leveraging Multilingual News Websites for Building a Kurdish Parallel Corpus

https://github.com/KyanChen/OvarNet

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OvarNet: Towards Open-vocabulary Object Attribute Recognition

https://github.com/L0SG/grouped-ssd-pytorch

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Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images

https://github.com/LA30/Cas-Gnn

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Cascade Graph Neural Networks for RGB-D Salient Object Detection

https://github.com/LCAD-UFES/publications-arruda-ijcnn-2019

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Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

https://github.com/LCS2-IIITD/RETINA

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Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter

https://github.com/LIAvignon/adversarial-disentangling-autoencoder-for-spk-representation

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Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation

https://github.com/LKJacky/Differentiable-Model-Scaling

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Differentiable Model Scaling using Differentiable Topk

https://github.com/LONGXUANX/CDFormer_code

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CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion

https://github.com/LabForComputationalVision/universal_inverse_problem

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Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

https://github.com/LandskapeAI/triplet-attention

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Rotate to Attend: Convolutional Triplet Attention Module

https://github.com/Lans1ng/OSSOD

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Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images

https://github.com/Lans1ng/SFOD-RS

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CLIP-Guided Source-Free Object Detection in Aerial Images

https://github.com/LansburyCH/relightable-nr

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A Neural Rendering Framework for Free-Viewpoint Relighting

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