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Found 6 papers, 4 papers with code
AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation
(1) Mutually-Refined Proposal Extraction.
Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval
In this paper, we introduce Modal-Enhanced Semantic Modeling (MESM), a novel framework for more balanced alignment through enhancing features at two levels.
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval
Hence, we address this problem by decomposing video information into reconstruction-dependent and semantic-dependent information, which disentangles the semantic extraction from reconstruction constraint.
Balanced Classification: A Unified Framework for Long-Tailed Object Detection
In this paper, we contend that the learning bias originates from two factors: 1) the unequal competition arising from the imbalanced distribution of foreground categories, and 2) the lack of sample diversity in tail categories.
Ranked #1 on
Long-tailed Object Detection
on LVIS v1.0 val
MomentDiff: Generative Video Moment Retrieval from Random to Real
Video moment retrieval pursues an efficient and generalized solution to identify the specific temporal segments within an untrimmed video that correspond to a given language description.
