# used for deconv layersself.deconv_layers=self._make_deconv_layer(extra.NUM_DECONV_LAYERS,extra.NUM_DECONV_FILTERS,extra.NUM_DECONV_KERNELS)self.final_layer_unsup=nn.Conv2d(in_channels=extra.NUM_DECONV_FILTERS[-1],out_channels=cfg.MODEL.NUM_MAPS,kernel_size=extra.FINAL_CONV_KERNEL,stride=1...
font-feature-settings font-kerning font-optical-sizing font-size font-size-adjust font-stretch font-style font-variant font-variant-caps font-variant-ligatures font-variant-numeric font-variant-position font-variation-settings font-weight forced-color-adjust gap grid grid-area grid-auto-columns grid...
This feature allows you to pass in vectors that can be viewed as global nodes that are seen by all other nodes. The idea would be to pool your graph into a few feature vectors, which will be projected to key / values across all the attention layers in the network. All nodes will have...
det_layers), return_iou=True), loss_obj=dict( type='mmdet.CrossEntropyLoss', use_sigmoid=True, reduction='mean', loss_weight=loss_obj_weight * ((img_scale[0] / 640)**2 * 3 / num_det_layers)), prior_match_thr=prior_match_thr, obj_level_weights=obj_level_weights), test_cfg=...
font-feature-settings font-kerning font-optical-sizing font-size font-size-adjust font-stretch font-style font-variant font-variant-caps font-variant-ligatures font-variant-numeric font-variant-position font-variation-settings font-weight forced-color-adjust gap grid grid-area grid-auto-columns grid...