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Scene Recognition

Papers

Showing 2650 of 207 papers

TitleStatusHype
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory NetworksCode0
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot ManipulationCode0
Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream AssessmentCode0
Local semantic enhanced convnet for aerial scene recognitionCode0
Object Detectors Emerge in Deep Scene CNNsCode0
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationCode0
A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental SafetyCode0
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNsCode0
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNNCode0
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer VisionCode0
Empirical Analysis of Foundational Distinctions in Linked Open DataCode0
CNN Features off-the-shelf: an Astounding Baseline for RecognitionCode0
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global PoolingCode0
AGA: Attribute-Guided AugmentationCode0
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene RecognitionCode0
DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic LandslidesCode0
DisasterNets: Embedding Machine Learning in Disaster MappingCode0
Learning image representations tied to ego-motionCode0
Deep Filter Banks for Texture Recognition and SegmentationCode0
An embarrassingly simple comparison of machine learning algorithms for indoor scene classificationCode0
InstaIndoor and Multi-modal Deep Learning for Indoor Scene RecognitionCode0
Capsule Networks as Generative ModelsCode0
AGA: Attribute Guided AugmentationCode0
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian KernelCode0
Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNsCode0
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