Qwen3-VL
Vision encoder + MLP based vision language merger + LLM
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全部文章: 10
InternVL Series
Cascade RL introduced in InternVL3.5, which enhances reasoning through a two stage process: offline RL for stable convergence , efficiently…
阅读全文ViT
Attention is either applied in conjunction with convolutional networks, or used to replace certain components of convolutional networks whi…
阅读全文AIMv2
A novel method for pre training of large scale vision encoders, based on autoregressive pretraining to a multimodal setting(image and text)…
阅读全文GLM-4.1V-Thinking
GLM 4.1V Thinking (9B base/thinking) is a VLM designed to advance general purpose multimodal reasoning . The model gains the upper capabili…
阅读全文DeepSeek VL Series
Three key dimensions of the approaches: data construction : diverse, scalable, extensively covers real world scenarios, knowledge based con…
阅读全文Qwen2.5 VL
Main contributions 1. implement window attention in the visual encoder to optimize inference efficiency 2. introduce dynamic FPS sampling ,…
阅读全文CLIP
CV systems that are trained to predict a fixed set of predetermined object categories are restricted from the supervision limitations of ge…
阅读全文LLaVA 系列
use Vicuna(LLaMA 7B) as the LLM $f {\phi}(\cdot)$ parameterized by $\phi$, use a pre trained CLIP vision encoder ViT L/14 , provide the vis…
阅读全文Qwen2 VL
Qwen2 VL introduces Naive Dynamic Resolution mechanism : enables the model to dynamically process images of varying resolutions into differ…
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