Abstract: Embodiments of the present disclosure provide a solution for visual data processing. A method for visual data processing is proposed. The method comprises: performing, for a conversion between visual data and a bitstream of the visual data, a quantization process on a dataset comprising at least one of: input visual data of a neural network model used for the conversion, or a parameter of the neural network model; and performing the conversion based on the quantization process.

Abstract: Embodiments of the present disclosure provide a solution for visual data processing. A method for visual data processing is proposed. The method comprises: obtaining, for a conversion between visual data and a bitstream of the visual data, an intermediate representation of the visual data, the intermediate representation being different from a quantized latent representation of the visual data and being generated based on at least one of the following: at least one parameter, at least a part of the quantized latent representation, a prediction of the at least a part of the quantized latent representation, or a difference between the prediction and the at least a part of the quantized latent representation; and performing, for the conversion, a synthesis transform on the intermediate representation, wherein the quantized latent representation is generated based on applying a first neural network to the visual data.

Abstract: Embodiments of the present disclosure provide a solution for visual data processing. A method for visual data processing is proposed. The method comprises: obtaining, for a conversion between visual data and a bitstream of the visual data, a first representation of the visual data, the first representation being obtained by quantizing a second representation of the visual data, the second representation being generated based on applying a first neural network to the visual data; adjusting a plurality of sets of first samples of the first representation with different parameters; and performing the conversion based on the plurality of sets of adjusted first samples.

Abstract: Embodiments of the present disclosure provide a solution for visual data processing. A method for visual data processing is proposed. The method comprises: obtaining, for a conversion between visual data and a bitstream of the visual data, statistical information associated with a first representation of the visual data, the first representation being generated based on applying a first neural network to the visual data; determining at least one sample from a second representation of the visual data based on the statistical information, a value of the at least one sample being absent from the bitstream, the second representation being obtained by quantizing the first representation; and performing the conversion based on the determining.

Abstract: Embodiments of the present disclosure provide a solution for data processing. A method for data processing is proposed. The method comprises: determining, by using a first model with an attention mechanism during a conversion between data and a bitstream of the data, a probability distribution for entropy coding associated with the bitstream; and performing the conversion based on the probability distribution.

Abstract: Embodiments of the present disclosure provide a solution for data processing. A method for data processing is proposed. The method comprises: processing, during a conversion between data and a bitstream of the data, a first set of samples of a reconstructed latent representation of the data and a second set of samples of the reconstructed latent representation by using a model, the first set of samples being associated with a first sample of the reconstructed latent representation and the second set of samples being associated with a second sample of the reconstructed latent representation; and performing the conversion based on a result of the processing.

Abstract: Embodiments of the present disclosure provide a solution for data processing. A method for data processing is proposed. The method comprises: determining, during a conversion between data and a bitstream of the data, a first part of a first sample of a reconstructed latent representation of the data, the first part indicating a prediction of the first sample; determining a second part of the first sample, the second part indicating a difference between the first sample and the first part; and performing the conversion based on the second part.

Abstract: A uracil compound containing a carboxylate fragment, a preparation method therefor, and a herbicidal composition and use thereof are provided. The preparation method includes a contact reaction between a carboxylic acid compound and different substituted alcohol, halogenated, or sulfonate compound in a presence of a solvent. The uracil compound containing a carboxylate fragment provided by the present invention has better herbicidal activity compared with the prior art.

Abstract: A uracil compound containing a carboxylate fragment, a preparation method therefor, and a herbicidal composition and use thereof are provided. The preparation method includes a contact reaction between a carboxylic acid compound and different substituted alcohol, halogenated, or sulfonate compound in a presence of a solvent. The uracil compound containing a carboxylate fragment provided by the present invention has better herbicidal activity compared with the prior art.

Abstract: Provided are a dendrene amide compound, a bactericide and the use thereof, which relate to the field of pesticides. The compound has a structure as shown in formula (I). The dendrene amide compound provided has a relatively high inhibitory activity for succinate dehydrogenase, and has a relatively high controlling effect on fungal diseases.