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Found 6 papers, 1 papers with code
Real-Time Referring Expression Comprehension by Single-Stage Grounding Network
Experiments on RefCOCO, RefCOCO+, and RefCOCOg datasets demonstrate that our proposed SSG without relying on any region proposals can achieve comparable performance with other advanced models.
Temporally Grounding Natural Sentence in Video
We introduce an effective and efficient method that grounds (i. e., localizes) natural sentences in long, untrimmed video sequences.
Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset
First, we demonstrate that video attractiveness and different engagements present different relationships.
Learning to Guide Decoding for Image Captioning
Recently, much advance has been made in image captioning, and an encoder-decoder framework has achieved outstanding performance for this task.
Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
Recently, caption generation with an encoder-decoder framework has been extensively studied and applied in different domains, such as image captioning, code captioning, and so on.
Aggregating Frame-level Features for Large-Scale Video Classification
This paper introduces the system we developed for the Google Cloud & YouTube-8M Video Understanding Challenge, which can be considered as a multi-label classification problem defined on top of the large scale YouTube-8M Dataset.
