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Showing 5426–5450 of 10696 papers

TitleStatusHype
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation—0
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions—0
Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis—0
Linear Classification of Neural Manifolds with Correlated Variability—0
Linear Object Detection in Document Images using Multiple Object Tracking—0
It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality—0
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection—0
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks—0
MDE-Edit: Masked Dual-Editing for Multi-Object Image Editing via Diffusion Models—0
Aligning Data Selection with Performance: Performance-driven Reinforcement Learning for Active Learning in Object Detection—0
LISA: Localized Image Stylization with Audio via Implicit Neural Representation—0
MEAOD: Model Extraction Attack against Object Detectors—0
An experimental study of the vision-bottleneck in VQA—0
Measuring the Accuracy of Object Detectors and Trackers—0
Memory-Efficient Continual Learning Object Segmentation for Long Video—0
Detailed Surface Geometry and Albedo Recovery from RGB-D Video Under Natural Illumination—0
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing—0
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors—0
Iterative Spectral Clustering for Unsupervised Object Localization—0
Iterative Optimisation with an Innovation CNN for Pose Refinement—0
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models—0
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations—0
Iterative Object and Part Transfer for Fine-Grained Recognition—0
Iterative multi-path tracking for video and volume segmentation with sparse point supervision—0
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations—0
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