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The efficient training of vision models is still a major challenge in AI because Transformer-based models suffer from computational bottlenecks due to the quadratic complexity of…
Long Video Segmentation involves breaking down a video into certain parts to analyze complex processes like motion, occlusions, and varying light conditions. It has various applications…
Games can be thought of as either finite or infinite. Finite games are structured around achieving a specific outcome, with set rules, boundaries, and a clear…
Vision-Language Models (VLMs) are increasingly used for generating responses to queries about visual content. Despite their progress, they often suffer from a major issue: generating plausible…
In recent years, there have been drastic changes in the field of image generation, mainly due to the development of latent-based generative models, such as Latent…
The rapid progress of text-to-image (T2I) diffusion models has made it possible to generate highly detailed and accurate images from text inputs. However, as the length…
Human beings possess innate extraordinary perceptual judgments, and when computer vision models are aligned with them, model’s performance can be improved manifold. Various attributes such as…
Point tracking is paramount in video; from 3d reconstruction to editing tasks, a precise approximation of points is necessary to achieve quality results. Over time, trackers…
Large language models (LLMs) have demonstrated consistent scaling laws, revealing a power-law relationship between pretraining performance and computational resources. This relationship, expressed as C = 6ND…
Vision-Language Models (VLMs) struggle with spatial reasoning tasks like object localization, counting, and relational question-answering. This issue stems from Vision Transformers (ViTs) trained with image-level supervision,…