SOTAVerified

Scene Recognition

Papers

Showing 1–50 of 207 papers

TitleStatusHype
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous DrivingCode2
Omnivore: A Single Model for Many Visual ModalitiesCode2
An Empirical Study of Remote Sensing PretrainingCode2
A Study of Face Obfuscation in ImageNetCode1
MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial ImagesCode1
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene RecognitionCode1
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained RecognitionCode1
PIR: Remote Sensing Image-Text Retrieval with Prior Instruction Representation LearningCode1
A Prior Instruction Representation Framework for Remote Sensing Image-text RetrievalCode1
Visual Memorability for Robotic Interestingness via Unsupervised Online LearningCode1
NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup AnnotationsCode1
BORM: Bayesian Object Relation Model for Indoor Scene RecognitionCode1
Indoor Scene Recognition in 3DCode1
Bidirectional Projection Network for Cross Dimension Scene UnderstandingCode1
NarrativeXL: A Large-scale Dataset For Long-Term Memory ModelsCode1
MovieCLIP: Visual Scene Recognition in MoviesCode1
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene RecognitionCode1
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision ResearchCode1
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open ProblemCode1
Where in the World is this Image? Transformer-based Geo-localization in the WildCode1
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D DatasetsCode1
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene RecognitionCode1
Self-supervised Video Representation Learning by Uncovering Spatio-temporal StatisticsCode1
Deep Attentional Structured Representation Learning for Visual RecognitionCode1
A Bag of Visual Words Approach for Symbols-Based Coarse-Grained Ancient Coin Classification—0
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification—0
A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions—0
Amodal Completion and Size Constancy in Natural Scenes—0
Audio Event and Scene Recognition: A Unified Approach using Strongly and Weakly Labeled Data—0
Bags of Spacetime Energies for Dynamic Scene Recognition—0
Effective Data Augmentation with Multi-Domain Learning GANs—0
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems—0
Adaptive Active Learning for Image Classification—0
A Robust Indoor Scene Recognition Method based on Sparse Representation—0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks—0
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition—0
Effectiveness of Function Matching in Driving Scene Recognition—0
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections—0
A Novel Locally Linear KNN Model for Visual Recognition—0
ALA: Naturalness-aware Adversarial Lightness Attack—0
Coarse-to-fine Task-driven Inpainting for Geoscience Images—0
CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition—0
Combining Multiple Cues for Visual Madlibs Question Answering—0
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines—0
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles—0
Contrastive Visual Data Augmentation—0
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?—0
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition—0
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition—0
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