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Found 5 papers, 1 papers with code
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection
Furthermore, models trained from data annotated with lower inter-labeler variability outperform those from higher inter-labeler variability.
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval
This paper explores methods for performing VMR in a weakly-supervised manner (wVMR): training is performed without temporal moment labels but only with the text query that describes a segment of the video.
Modality Shifting Attention Network for Multi-modal Video Question Answering
To this end, MSAN is based on (1) the moment proposal network (MPN) that attempts to locate the most appropriate temporal moment from each of the modalities, and also on (2) the heterogeneous reasoning network (HRN) that predicts the answer using an attention mechanism on both modalities.
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering
This paper proposes a method to gain extra supervision via multi-task learning for multi-modal video question answering.
Progressive Attention Memory Network for Movie Story Question Answering
To overcome these challenges, PAMN involves three main features: (1) progressive attention mechanism that utilizes cues from both question and answer to progressively prune out irrelevant temporal parts in memory, (2) dynamic modality fusion that adaptively determines the contribution of each modality for answering the current question, and (3) belief correction answering scheme that successively corrects the prediction score on each candidate answer.
Ranked #2 on
Video Story QA
on MovieQA
