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Learning Robust Visual-Semantic Retrieval Models with Limited Supervision

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Figure

Figure 2.1: Illustration of Video-Text retrieval task: given a text query, retrieve and rank videos from the database based on how well they depict the text, and vice versa.
Figure 2.2: Sample frame from two videos and associated caption to illustrate the signifi- signifi-cance of utilizing supplementary cues from videos to improve the chance of correct retrieval.
Figure 2.3: An overview of the proposed retrieval process. We propose to learn three joint video-text embedding networks as shown in the figure
Figure 2.4: An example showing the significance of the proposed ranking loss. The idea is that if a large number of non-matching instances are ranked higher than the matching one given the current state of the model, then the model must be updated by a lar
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