3 accepted papers
Large Language Models (LLMs) have greatly pushed forward advancements in natural language processing, yet their high memory and computational demands hinder practical deployment. Binarization, as an effective compression technique, can shrink model weights to just 1 bit, significantly reducing the h…
Recent advances in vision-language pre-training have significantly enhanced the model capabilities on grounded object detection. However, these studies often pre-train with coarse-grained text prompts, such as plain category names and brief grounded phrases. This limitation curtails the model's capa…
General image encryption schemes transform plaintext images into snowflake-like ciphertext patterns through efficient cryptographic permutation and confusion primitives. However, these encryption schemes cannot achieve the goal of privacy computing that data are available but not visible. Thumbnail-…