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09/07/2023
ImageBind-LLM: Multi-modality Instruction Tuning
We present ImageBind-LLM, a multi-modality instruction tuning method of ...
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09/01/2023
Point-Bind Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
We introduce Point-Bind, a 3D multi-modality model aligning point clouds...
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08/25/2023
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Large language models (LLMs) have revolutionized natural language proces...
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06/15/2023
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models
Large Vision-Language Models (LVLMs) have recently played a dominant rol...
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12/20/2022
ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management
Despite the increased adoption of open-source cyber threat intelligence ...
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11/21/2022
PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning
Contrastive Language-Image Pre-training (CLIP) has shown promising open-...
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10/21/2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning
Contrastive learning has emerged as a powerful tool for graph representa...
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10/07/2022
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors
Knowledge distillation (KD) has been proven to be useful for training co...
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08/06/2022
Frozen CLIP Models are Efficient Video Learners
Video recognition has been dominated by the end-to-end learning paradigm...
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07/19/2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...
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05/30/2022
Illumination Adaptive Transformer
Challenging illumination conditions (low light, underexposure and overex...
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03/24/2022
MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection
Monocular 3D object detection has long been a challenging task in autono...
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01/12/2022
Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning
It is a challenging task to learn rich and multi-scale spatiotemporal se...
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12/04/2021
PointCLIP: Point Cloud Understanding by CLIP
Recently, zero-shot and few-shot learning via Contrastive Vision-Languag...
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11/06/2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...
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07/25/2020
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Human beings can quickly adapt to environmental changes by leveraging le...
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10/04/2018
