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3D Character Animation From A Single Photo
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
Designing Deep Networks for Scene Recognition
Synergy between human and machine approaches to sound/scene recognition and processing: An overview of ICASSP special session
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
Coarse-to-fine Task-driven Inpainting for Geoscience Images
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs
MovieCLIP: Visual Scene Recognition in Movies
Capsule Networks as Generative Models
Rice Leaf Disease Classification and Detection Using YOLOv5
LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding
Effectiveness of Function Matching in Driving Scene Recognition
Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments
Scene Recognition with Objectness, Attribute and Category Learning
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification
Attention-based Knowledge Distillation in Multi-attention Tasks: The Impact of a DCT-driven Loss
Where in the World is this Image? Transformer-based Geo-localization in the Wild
An Empirical Study of Remote Sensing Pretraining
Investigating Power laws in Deep Representation Learning
Omnivore: A Single Model for Many Visual Modalities
ALA: Naturalness-aware Adversarial Lightness Attack
InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition
Recognizing Scenes from Novel Viewpoints
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition
High-order Tensor Pooling with Attention for Action Recognition
An embarrassingly simple comparison of machine learning algorithms for indoor scene classification
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
BORM: Bayesian Object Relation Model for Indoor Scene Recognition
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks
MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.