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Found 5 papers, 1 papers with code
Unsupervised Modality-Transferable Video Highlight Detection with Representation Activation Sequence Learning
To achieve unsupervised highlight detection, we investigate the latent representations of the network and propose the representation activation sequence learning (RASL) module with k-point contrastive learning to learn significant representation activations.
Meta-DSP: A Meta-Learning Approach for Data-Driven Nonlinear Compensation in High-Speed Optical Fiber Systems
Non-linear effects in long-haul, high-speed optical fiber systems significantly hinder channel capacity.
Adaptive Base-class Suppression and Prior Guidance Network for One-Shot Object Detection
One-shot object detection (OSOD) aims to detect all object instances towards the given category specified by a query image.
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag
To address these problems, we propose an Adaptive Semantic Guidance Network (ASGN), which instantiates the whole video semantics to different POS-aware semantics with the supervision of part of speech (POS) tag.
DetNAS: Backbone Search for Object Detection
In this work, we present DetNAS to use Neural Architecture Search (NAS) for the design of better backbones for object detection.
