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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/fhamborg/newstsc

공식 코드

Towards Target-dependent Sentiment Classification in News Articles

https://github.com/fhou80/EntEmb

공식 코드

Improving Entity Linking through Semantic Reinforced Entity Embeddings

https://github.com/fidansamet/tune-it-up

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Tune It Up: Music Genre Transfer and Prediction

https://github.com/filapro/unidet3d

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UniDet3D: Multi-dataset Indoor 3D Object Detection

https://github.com/filippobotti/mambast

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Mamba-ST: State Space Model for Efficient Style Transfer

https://github.com/finger-monkey/Data-Augmentation

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Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method

https://github.com/finmu/ml-esg_codes

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EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models

https://github.com/finn-no/recsys-slates-dataset

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FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research

https://github.com/fishandwasabi/yolo-ms

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YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection

https://github.com/fishsoup0/autonomous-driving-perception

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A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future Directions

https://github.com/fistyee/mixpro

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MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer

https://github.com/fiveai/MoCaE

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MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

https://github.com/fiveai/detection_calibration

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On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines

https://github.com/fiveai/hardest

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Query-based Hard-Image Retrieval for Object Detection at Test Time

https://github.com/fiveai/saod

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Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration

https://github.com/fkthi/OpenTrafficMonitoringPlus

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Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles

https://github.com/flairnlp/fundus

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Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions

https://github.com/flairox/ifg

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Intent Factored Generation: Unleashing the Diversity in Your Language Model

https://github.com/flkraus/bayesian-yolov3

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Uncertainty Estimation in One-Stage Object Detection

https://github.com/floatingstarZ/GeRSP

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Generic Knowledge Boosted Pre-training For Remote Sensing Images

https://github.com/floatingstarz/mutdet

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MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection

https://github.com/florianbaud/retrieval-augmented-mds

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Non-Parametric Memory Guidance for Multi-Document Summarization

https://github.com/florianmai/emb2emb

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Plug and Play Autoencoders for Conditional Text Generation

https://github.com/fluTN/influenza

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A general method for estimating the prevalence of Influenza-Like-Symptoms with Wikipedia data

https://github.com/flyakon/Geographical-Knowledge-driven-Representaion-Learning

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Geographical Knowledge-driven Representation Learning for Remote Sensing Images

https://github.com/flyegle/sdwnet

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SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring

https://github.com/fmerizzi/procedural-terrain-generation-with-style-transfer

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Procedural terrain generation with style transfer

https://github.com/fmorenovr/WSAM_Style

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WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification

https://github.com/fnozarian/ReliableStudent

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Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection

https://github.com/fod-unomaha/fodanomalydata

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Foreign Object Debris Detection for Airport Pavement Images based on Self-supervised Localization and Vision Transformer

https://github.com/foerstner-lab/nslp2024-forc

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Enriched BERT Embeddings for Scholarly Publication Classification

https://github.com/foivospar/NED

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Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videos

https://github.com/forAcadamic/T-CAD

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TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance

https://github.com/fordevoted/uiess

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Domain Adaptation for Underwater Image Enhancement via Content and Style Separation

https://github.com/foreverzyh/defend_framework

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BagFlip: A Certified Defense against Data Poisoning

https://github.com/forresti/caffe

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DenseNet: Implementing Efficient ConvNet Descriptor Pyramids

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