# PSROIPooling {#openvino_docs_ops_detection_PSROIPooling_1} **Versioned name**: *PSROIPooling-1* **Category**: *Object detection* **Short description**: *PSROIPooling* computes position-sensitive pooling on regions of interest specified by input. **Detailed description**: [Reference](https://arxiv.org/pdf/1703.06211.pdf). *PSROIPooling* operation takes two input blobs: with feature maps and with regions of interests (box coordinates). The latter is specified as five element tuples: *[batch_id, x_1, y_1, x_2, y_2]*. ROIs coordinates are specified in absolute values for the average mode and in normalized values (to *[0,1]* interval) for bilinear interpolation. **Attributes** * *output_dim* * **Description**: *output_dim* is a pooled output channel number. * **Range of values**: a positive integer * **Type**: `int` * **Required**: *yes* * *group_size* * **Description**: *group_size* is the number of groups to encode position-sensitive score maps. * **Range of values**: a positive integer * **Type**: `int` * **Default value**: 1 * **Required**: *no* * *spatial_scale* * **Description**: *spatial_scale* is a multiplicative spatial scale factor to translate ROI coordinates from their input scale to the scale used when pooling. * **Range of values**: a positive floating-point number * **Type**: `float` * **Required**: *yes* * *mode* * **Description**: *mode* specifies mode for pooling. * **Range of values**: * *average* - perform average pooling * *bilinear* - perform pooling with bilinear interpolation * **Type**: string * **Default value**: *average* * **Required**: *no* * *spatial_bins_x* * **Description**: *spatial_bins_x* specifies numbers of bins to divide the input feature maps over width. Used for "bilinear" mode only. * **Range of values**: a positive integer * **Type**: `int` * **Default value**: 1 * **Required**: *no* * *spatial_bins_y* * **Description**: *spatial_bins_y* specifies numbers of bins to divide the input feature maps over height. Used for "bilinear" mode only. * **Range of values**: a positive integer * **Type**: `int` * **Default value**: 1 * **Required**: *no* **Inputs**: * **1**: 4D input tensor with shape `[N, C, H, W]` and type *T* with feature maps. **Required.** * **2**: 2D input tensor with shape `[num_boxes, 5]`. It contains a list of five element tuples that describe a region of interest: `[batch_id, x_1, y_1, x_2, y_2]`. **Required.** Batch indices must be in the range of `[0, N-1]`. **Outputs**: * **1**: 4D output tensor with areas copied and interpolated from the 1st input tensor by coordinates of boxes from the 2nd input. **Types** * *T*: any supported floating-point type. **Example** ```xml 1 3240 38 38 100 5 100 360 6 6 ```