Such models need multiple GPUs due to both their size and computational load, driving the development of a bevy of "model parallelism" techniques & tools.
Semantic, instance, and panoptic segmentation of 3D point clouds have been addressed using task-specific models of distinct design.
Ranked #1 on Panoptic Segmentation on ScanNetV2
Based on this observation, we further sparsify delta parameters of multiple SFT homologous models with DARE and subsequently merge them into a single model by parameter averaging.
Transformer-like models for vision tasks have recently proven effective for a wide range of downstream applications such as segmentation and detection.
Our system disentangles this objective into three sequential tasks: (1) face video generation with a canonical expression; (2) audio-driven lip-sync; and (3) face enhancement for improving photo-realism.
The first stage concerns keyframes synthesis to figure the storyline of a video, while the second one is devoted to interpolation frames generation to make movements of the scene and objects smooth.
Labeling large amounts of extractive summarization data is often prohibitive expensive due to time, financial, and expertise constraints, which poses great challenges to incorporating summarization system in practical applications.
Empirical experiments are conducted to detail its construction and execution procedure of workflow, showcasing the feasibility of APA, unveiling the possibility of a new paradigm of automation driven by agents.