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IEEE4d

An Attention Architecture With Twice Attention Convolution and Simplified Transformer for Hyperspectral Image Classification

Abstract: Convolutional neural network (CNN) and transformer-based hybrid models have been successfully applied to hyperspectral image (HSI) classification, enhancing the local feature extraction ...
GitHub11d

[Bug] awq-int4-flux.1-t5xxl.safetensors 导致comfyui直接退出

xformers attention in VAE VAE load device: cuda:0, offload device: cpu, dtype: torch.float32 CLIP/text encoder model load device: cuda:0, offload device: cpu, current ...
GitHub14d

Run failed: [vllm] Error: PluginInvokeError: {"args":{},"error_type":"ValidationError","message":"1 validation error for ModelInvokeLLMRequest\nprompt_messages.content.type\n ...

mistralai/Mistral-Small-3.1-24B-Instruct-2503: VLLM_ATTENTION_BACKEND=FLASHINFER CUDA_VISIBLE_DEVICES=2,3,5,6 nohup vllm serve mistralai/Mistral-Small-3.1-24B ...
IEEE16d

MHCMamba: Multiscale Hybrid Convolution Mamba Network for Hyperspectral and LiDAR Image Classification

Abstract: The volume of multisource Remote Sensing (RS) data has grown significantly, making the integration of such data a critical focus in Earth observation research. Although multi-source data ...