SOTAVerified

Scene Recognition

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 207 papers

TitleStatusHype
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems—0
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition—0
Effective Data Augmentation with Multi-Domain Learning GANs—0
Effectiveness of Function Matching in Driving Scene Recognition—0
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition—0
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures—0
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs—0
Fine-tuning Convolutional Neural Networks for fine art classification—0
FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition—0
FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition—0
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning—0
GeoNet: Benchmarking Unsupervised Adaptation across Geographies—0
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs—0
Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors—0
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration—0
Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization—0
Hierarchy of Alternating Specialists for Scene Recognition—0
High-order Tensor Pooling with Attention for Action Recognition—0
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding—0
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation—0
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding—0
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models—0
Attention-based Knowledge Distillation in Multi-attention Tasks: The Impact of a DCT-driven Loss—0
Indoor scene recognition from images under visual corruptions—0
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus—0
Show:102550
← PrevPage 8 of 9Next →

No leaderboard results yet.