FashionLens is a task-adaptive MLLM framework that achieves SOTA performance on diverse fashion image retrieval scenarios via spherical query calibration and gradient-guided sampling.
A multihead continual learning framework for fine-grained fashion image retrieval with contrastive learning and expo- nential moving average distillation,
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FashionLens: Toward Versatile Fashion Image Retrieval via Task-Adaptive Learning
FashionLens is a task-adaptive MLLM framework that achieves SOTA performance on diverse fashion image retrieval scenarios via spherical query calibration and gradient-guided sampling.