State-of-the-art crowd counting models follow an encoder-decoder approach. Images are first processed by the encoder to extract features. Then, to account for perspective distortion, the highest-level ...

Existing remote sensing hyperspectral imaging sensors (HISs) typically capture hyperspectral images (HSIs) with relatively low spatial resolution due to the trade-off between spectral and spatial ...

The University of California, Santa Cruz has announced the release of OpenVision, a family of vision encoders that aim to provide a new alternative to models including OpenAI’s four-year-old ...

🐛 Describe the bug ##Code Encoder: import torch import torch.nn as nn import torch.optim as optim class Encoder (nn.Module): def __init__ (self, input_dim, emb_dim ...

Reproduction Convert transformer vision encoder decoder model to onnx model using optimum.onnxruntime.ORTModelForVision2Seq Load the converted model and try model.generate to get a text. You will get ...